摘要:It’s a widely studied field to get the structural parameters of the vegetation with remote sensing data. In this paper, multi-spectral information is used in the multi-angular remote sensing research. A spectral-directional reflectance remote sensing model of regional-scale is presented for the semiarid grassland. Starting with the Geometric-Optical modeling and considering the difference between the tree and the grass, two most important scene elements are accounted for in this model: bare soil and canopy. The model is composed of the Multi-spectral Reflectance Model(MSRM) for calculating the canopy reflectance, the soil spectral reflectance Price model and the soil BRDF Walthall model for calculating the soil reflectance. Poisson model is used to calculate the percentage of each component of remote sensing pixel. Validation has been done using MISR and MODIS data for the model. The result shows that RMS between modeled multi-angular reflectance and MISR data, and RMS between modeled multi-spectral reflectance and MODIS data are 5.31%, 6.37%, 4.69% and 5.14%, 4.68%, 5.71% for no degraded grassland, slightly degraded grassland and badly degraded grassland respectively. The precision of our model can meet requirement of research work.The sub model of soil reflectance is experimental. The study has shown that it can be replaced by the mechanism model, for the percentage of soil is dominated especially in the badly degraded grassland. In conclusion, it provides a new approach of application of remote sensing apllication to quantitative study and quick evaluation of grassland degradation in the semiarid region.
摘要:Data quality in spatial databases has been widely recognized as one of the most critical issues in GIS. Its key dimension is assessing data suitability, including data accuracy, precision, uncertainty, compatibility, consistency, completeness, availability and timeliness recorded in the data lineage. Over decades, data quality has attracted much attention in the GIS community, and various aspects of data quality have been investigated. However, research on topological consistency remains very weak though it is crucial for GIS spatial analysis. This paper proposes a new technique on handling topological consistencies as well as tracing error propagation. First, inconsistencies of digital geographic lines are categorized into two groups with or without equal numbers of vertexes. Then a standard formalizing approach has been introduced to make numbers of vertexes matched in the two poly-lines so that the generalized algorithm of node snapping can be used to remove the inconsistencies between the two poly-lines. Third, the equations of estimating the coordinates of the projected points and their errors in the process of standard formalization have been derived. The formulae of calculating the length, together with its accuracy, of new generated poly-lines have also been obtained. Finally, simple examples are provided to demonstrate how to implement the proposed technique into practice.
关键词:geographic line matching;inconsistency;error assessment
摘要:In this paper, the visible and near-infrared spectral bands of FY1D/VIRR were calibrated using cross-calibration methods based on the EOS/MODIS. First, the match bands of the two sensors were obtained. Then the 6S code was run to calculate their band match factor, and the apparent radiance and reflectance of the FY1D/VIRR were gained according to the digital numbers of the EOS/MODIS when the satellite over passed the Dunhuang Radiometric Calibration Site, onboard calibration results and match factors. After comparing the apparent radiance and reflectance to the digital numbers of the FY1D/VIRR when FY1D over passed the Dunhuang Radiometric Calibration Site at the same time, the calibration coefficients were obtained. The consistency between the results of this cross-calibration and those of site test was good. The method could be used to validate the pre-launch calibration results.
摘要:A mathematical model of shadow detection is introduced in this paper. It first computes the coordinates of the shadow through a photogrammetric approach. Digital surface model (DSM) and the altitude of the sun are used to detect the space coordinate of the shadow, and camera model is used to calculate the scanning line and the associated camera position for each shadow cell. Height field ray tracing is carried out to determine the visibility of each shadow. For a visible shadow, the coordinate in the projecting image is calculated. Based on this result, we extract successfully the fine segments of shadows in the image.
摘要:In many real world of remote sensing applications, one may be interested in identifying if the samples belong to one class from a remote sensing imagery. It is always expensive in terms of time and manpower to collect an exhaustive training sample set. Therefore, it is useful to design a classifier, by which a user needs only to collect training samples of the objective class for identifying if a pixel belongs to the class of interest or not. This is the technique of partially supervised classification. In this paper, we present an algorithm called Weighted Unlabeled Sample Support Vector Machine (WUS-SVM), based on which a new partially supervised classification method is proposed. In this method, a certain amount of unlabeled samples is first randomly selected from the test set and labeled as other classes with different weights. Second, a primary classifier is defined by WUS-SVM, in which a hyperplane is constructed to separate training samples of objective class and other classes with low weighted error and large margin width. Third, the primary classifier is used to determine the class of unlabeled samples. Thus all training samples are labeled and again they are used as training samples of support vector machines to obtain a final classifier, which is used to classify other test samples. Experimental results with both simulated and real data sets show that the proposed method is very effective.
摘要:In this paper, some initial investigations are conducted to employ Artificial immune system(AIS) for classification of remotely sensed images. As a novel branch of computational intelligence, AIS has strong capabilities of pattern recognition, learning and associative memory, hence it is natural to view AIS as a powerful information processing and problem-solving paradigm in both the scientific and engineering fields. Artificial immune system posses nonlinear classification properties along with the biological properties such as self/nonself identification, positive and negative selection, clonal selection. Therefore, AIS, like genetic algorithms and neural nets, is a tool for adaptive pattern recognition. However, few papers have concerned applications of AIS in feature extraction/classification of aerial or high resolution satellite image and how to apply it to remote sensing imagery classification is very difficult because of its characteristics of huge volume data. Remote sensing imagery classification task by Artificial immune system is attempted and the preliminary results are provided. The experiment is consisted of two steps: Firstly, the classification task employs the property of clonal selection of immune system. The clonal selection proposes a description of the way the immune systems copes with the pathogens to mount an adaptive immune response. Secondly, classification results are evaluated by three known algorithms: Parallelepiped, Minimum Distance and Maximum Likelihood. It is demonstrated that our method is superior to the three traditional algorithms, and its overall accuracy and Kappa coefficient reach 89.80% and 0.8725 respectively.
摘要:Matching error causes spectral distortion and degradation in processing of remote sensing images fusion with IHS method. Wavelet decomposition has properties of frequency division in transform domain. And the statistical properties of wavelet coefficient reflect those significant features, such as edges, lines and regions. In this paper, a united optimal fusion method of pixel and feature is proposed based on the statistical properties of wavelet decomposition. In IHS space, the high frequency of intensity component I is fused at feature level with multi-resolution wavelet. And the low frequency of intensity component I is fused at pixel level with optimal weight coefficients. Spectral information and spatial resolution are two indexes of optimum weight coefficient. The test results with QuickBird and TM/SPOT data show the effectiveness of presented method.
摘要:Dissolved organic carbon is the main component of dissolved carbon in water, and contributes to the control of the chemical states and the residence times of the other elements or materials existing there. Chromatic dissolved organic carbon(CDOC) is the fraction of the dissolved organic carbon(DOC) pool that absorbs light in both the ultra violet and visible ranges. CDOC is of particular interest to remote sensing because it absorbs blue light in the same region of the spectrum as chlorophyll a. The significant absorption of light in the blue wavelengths by CDOC can result in overestimation of chlorophyll a by satellite sensors in open ocean waters. CDOC can also emit fluorescence when being excited by light and fluorescence measurements have been used in oceanography since the early sixties to detect chromophoric constituents of dissolved organic matter. Nowadays these measurements are widely used in water mass analysis as well as for phytoplankton biomass determinations. The absorbance and fluorescence of chromatic organic carbon in Lake Tai, Lake Chao and Lake Longan at the lower reach of Changjiang River were studied for the period from July 2001 to December 2002. The results show as follows. S value was 0.0046nm -1(SD=0.0015,n=284), far less than 0.014nm -1 in the literature, maybe due to intense fluorescence emitted by high concentration of DOC when being excited; the relationship between florescence intensity and DOC content was uncertain; there was a good linear fitness of DOC content and a(350), relativity value reached 0.673(n=284); but there is weak relationship between florescence intensity and a(350), relativity value only at 0.497(n=214); The results showed that it had higher accuracy of DOC value by using absorbance than that of fluorescence.
摘要:Based on the type of the aerial camera and the principles and the features of its follow-up system, this paper analyses geometric distortion type and its features. Geometric rectification model of the system and its coefficient matrix are built. But the way of getting coefficient matrix for geometric rectification model is simplified ulterior by analyzing the principles of its follow-up system because of the requirement of the real time system. At the same time, other factors are considered based on the application environment of the system. The algorithm in the paper resolves auto geometric rectification of area CCD camera with fellow-up system. The output of the flight test proves the usefulness and availability of the algorithm.
关键词:follow-up system;area CCD camera;automatic geometric rectification model
摘要:Geo-event is controlled by the environment factors with nonlinear relationship. That means it is important to discover the spatiotemporal assignment of environmental factors. Vector-based association rule discovery models have been provided to look for environmental pattern successfully in terrestrial applications recently. But they just consider the topological relationship in static state between parcels or objects with complex algorithm. And the data type of the attribution has to be limited as category. Except the topologic relationship, it is difficult to take other relationships into account. In the environment research, the continue field also is important research content, especially in meteorology and oceanography. And the continue field always includes the temporal property as geographic phenomenon or geographic progress. This work is to deal with the process. It disperses the space with time. A neighborhood is defined to extract the spatiotemporal variables to make a decision table. A reduction algorithm based on rough set will mine the spatiotemporal assignment with the environmental factors. Finally, the model was applied in fishery geography to find the environmental pattern, which determines the form of fishing ground.
关键词:marine geographical information system(MGIS);fishery remote sensing;spatiotemporal association rule;fishing ground;knowledge discovery
摘要:Decision tree classification algorithms have significant potential in remote sensing data classification. In this research, two popular decision tree algorithms——CART and C4.5 are presented, and two techniques known as boosting and bagging in machine learning area are introduced. We examined these methods to maximize classification accuracies using these decision trees and techniques to map land cover of Huabei area in China from MODIS 250m data. The result indicates that decision tree with abundance training samples has higher classification accuracy than maximum likelihood classifier(MLC)in the land cover classification test, whereas insufficient samples resulted in a lower accuracy for decision tree than MLC. The result also shows CART algorithm has more advantageous than C4.5 algorithm in classification accuracy and tree structure. And the decision tree classification accuracy depends on the optimal structure and pruning process. We also tested the behaviour of boosting and bagging techniques combined with CART and the result shows that adding boosting technique to decision tree can increase classification accuracies by 18.5%—25.6% for the poorly separable classes in MLC.
摘要:With the appearance of the realistic structure model in the quantitative remote sensing research on the vegetation, the visualization of the structure of the vegetation has become an important aspect of the realistic structure model. In the process of the research on the realistic structure model, a 3-demensional visual data model is developed to construct the structure of the vegetation. The data model is based on the object-oriented approach and builds the geometric and logical relation among the objects through the object-combining, which is used to simulate successfully the scene of the winter wheat. The data model aims at providing the geometric and optical parameters for the RGM model and improving the accuracy of calculation of radiation of vegetation.
关键词:object-oriented approach;data visualization;realistic structure model;quantitative remote sensing research
摘要:Analysis for the need that should be resolved in developing new geographic information system more deeper study and analysis for cluster techniques and Oracle Real Application Cluster (RAC) were taken. To meet special requirement for current management of massive spatial data on net, an optimal multi-level PC servers architecture in GIS with clustering techniques was designed to take full advantages of high performance computing, high reliability and other cluster features. Integrated the reliability, scalability, flexibility and other features of RAC with general spatial database management strategies such as spatial index and partition, remote in-line procedures, mutual-backup of two computers and other strategies, a new type of distributed data management techniques such as high spatial locating, multi-caches strategies cluster based were developed. An application with RAC Servers and Oracle9i application servers (iAs) was tested, which showed the high performance of whole spatial database managing platform, such as high usability, load balance, high data downloading and high efficient spatial data query and anlysis.
摘要:Aerosol properties including optical depth, size distribution, absorption, etc were studied based on ground-based sun/sky radiometer measurements in the spring of 2001 over North China. Rapid increase of aerosol optical depth and coarse particle concentration, as well as aerosol neutral or anomalous extinction was observed during dusty periods. Anthropogenic emissions also contributed to high aerosol optical depth except dust input over Huabei Plain. The results showed that dust single-scattering albedo was less than those used in the model. Aerosol optical depth and Angstrom parameter in BJ and XH showed close relation, which indicated the regional anthropogenic influence on atmospheric environment. Dust activities might affect aerosol radiative forcing over the downwind regions through input of large volume of dust aerosols, and also through their effects on aerosol physical and radiative properties.
摘要:With the development of land management from emphasizing quantity management to quality and ecology protection, higher demand for monitoring land resource and environment was arisen. The hyperspectral remote sensing image which has accurate and detail spectrum provides detailed surface information and improves precision, extent and the depth of dynamic monitoring on land use and will be widely applied in monitoring on land quality. This paper puts emphasis upon making a study of information extraction technology and methods for monitoring land quality indicators, including soil organic matter and soil moisture. Based on analyzing the spectrum of soil in Yixing and Hengshan field area, we think that the intensity of spectrum reflection is low when the concentration of soil organic matter is high. The highly desertified soil has the highest intensity of spectrum reflection measured in the laboratory, followed by moderately, slightly, and non-desertied soil. The highly water-eroded soil has relatively high intensity of spectrum reflection, but the difference in the measured intensity of spectrum refection of moderately, slightly and non water-eroded soil in the laboratory was not significant. According to above analysis, we created regression model of soil organic matter at the wavelength of 677, 1202, 2074 and 1509 nm and of soil moisture at the wavelength of 1432, 1524 and 1746 nm, employing multiple statistics. In addition, we used the regression model of soil organic matter to develop the map of soil organic matter concentration in the Yixing experimental area, employing imaging spectroscopy. Finally, we discussed the problems in the application of regression model.
关键词:land quality;hyperspectral data;imaging spectroscopy;regression model
摘要:The investigation on ocean chlorophyll always is an emphasis of the study in ocean biological resource and marine ecology. And the remote sensing technology is a powerful tool in chlorophyll detection. Up to now, there has been considerable success in optical remote sensing of chlorophyll in ocase waters. In contrast, chlorophyll retrieval in coastal waters, where the optical properties of inorganic suspended matter and colored dissolved organic matter (CDOM) must also be considered, is still a matter of intense research activity. From the analysis of the living environment of chlorophyll, a new thought that the estimation of chlorophyll concentration using remote sensing based on environment factors, is proposed. The authors chose Pearl River as test area and created a new model of estimation of chlorophyll concentration based on environment factors. Finally, through analyzing the operational precision of the new model, the average relative error of the model based on environment factors is 17.96%, and the common spectral mode is 32.48%. It is proven that joining environment factors in chlorophyll retrieval algorithm can improve the precision of chlorophyll.
关键词:remote sensing;chlorophyll;environment factors;coastal water
摘要:This paper has a primary look at the daily variation of coastal water distribution in relation to wintertime wind forcing in the Taiwan Strait. QuikSCAT wind data and AVHRR Sea Surface Temperature(SST) data during the period from July, 1999 to May, 2003 were used in this study. Monthly mean wind field and SST during this period were analyzed first. It was shown that this remote sensing dataset revealed similar temporal and spatial features of wind field and SST as people reported based on in situ investigation. Daily SST and wind forcing data during Jan. 2nd to the 8th, 2002 were thus further used to study the short-term temporal pattern of Zhe-Min Coastal Water and its relationship with wind forcing. Two simplified methods were attempted to estimate the area of Zhe-Min Coastal Water distributed. One used SST≤17℃ and the other used SSTA≤-1℃ as the criteria. It was demonstrated that wind was the key factor controlling the daily variation of SST in the Taiwan Strait. The area of Zhe-Min Coastal Water was highly correlated with wind stress, with its correlation coefficient(R2) reaching 0.90.
摘要:In this paper, the GMS-5 infrared cloud imagery together with surface temperature data of two years in Binjiang reaches of Guangdong province in China is used to study the relationship between infrared cloud imagery and surface rainfall rates. First, parameterization estimate of infrared cloud imagery is made on the base of atmospheric probing principle, then some parameterization estimate results have been obtained under different analysis field from 3×3 to 15×15 pixels. The result shows:1 there exists obvious correlation between the probability of rain and parameterization estimate such as average brightness temperature(Tb), brightness temperature variance(f), equivalent cloudage(CN),brightness temperature area index(A1—the first, A5—the fifth grade, A6—the sixth grade); 2 The rainfall intensity increase,with Tb and f and CN, and decrease with Tb and A1. Finally,the prediction empirical formula of rainfall intensity has been established by means of optimized subclass regression under different analysis field. The statistical result shows that the average precision of rainfall intensity is over 80% using infrared cloud imagery parameters and the size of analysis field has slight effect on it.
摘要:In this paper, DMC(Disaster Monitoring Constellation)’s applied technology and character of DMC+4 Micro-satellite data are emphasized with study aims at international DMC’s applied technology and the condition of the natural disaster in our country. Micro-satellite is used for preventing from disaster, demuring to disaster and curing disaster. Micro-satellite ground system integration’s technology, technology of ground segments integration, integration of spacecraft-ground operation, management and control system are studied. It will help Micro-satellite technology in our country. Remote Sensing technology, satellite constellation technology, technology of ground segments integration, integration of spacecraft-ground operation and mechanism innovation are promoted more. Developing work of our country’s disaster constellation is promoted, inspecting to all kinds of disasters dynamic and real-time come true ultimately.
关键词:disaster monitoring constellation(DMC);DMC+4 micro-satellite;style of operation-management-control
摘要:Restoration to the degraded and blurred image was a key point in remote sensing image processing. In this paper, modulation transfer function(MTF) of the imaging system and the basic theory of MTF was researched. A new method that proximately mensurate MTF of imaging system was presented, and a series of processing technologies such as limited sampling, curve fitting, Fourier transform and normalization and so on were included in this method, so as to get point spread function(PSF) in image acquisition and transmission. A complete and smooth modulation transfer function’s curve was extracted, restoration of deconvolution to source degraded and blurred image was applied in frequency domain, and the restoration result was analyzed and evaluated. This method was applied to Disaster Monitoring Constellation satellite image, the quality of image was greatly improved, and the restoration result is satisfying.
关键词:modulation transfer function;point spread function;disaster monitoring constellation(DMC) satellite;image restoration
摘要:Level 1G data product of DMC remote sensing mini-satellite has been processed by band registering, radiometric correction and systematically geometric correction. To meet the need of image interpretation and object geometric measuring, this paper discusses the methods to remove the noise, mosaic line and different color in DMC mini-satellite product, which will improve DMC mini\|satellite image quality. This paper analyzes their reasons and characteristics and, discusses the methods to get rid of noises and mosaic line and make the true color image map with uniform saturation. The specific illustrations is provided.
摘要:The spatial resolution is a measurement of the image details, and is also an indictor for the objects details, it appears the degree of the scene details. But up to now, there are no effective approaches to be quantifiable evaluating the image resolution. The manner of forming an image can be in two ways: scanning manner and non-scanning manner (for example: framing). In normal, forming an image by non-scanning manner has the same spatial resolution in the vertical and horizontal directions. But an image by scanning manner has the different spatial resolution in the two directions. The factors that influence the image spatial resolution exist: the contrast, shape, number of the scene which was observed and the lens, focus and instantaneous field of view(IFOV) of imaging system, the wavelength of radiation, aperture of imaging, model of image and the design of the imaging system, and so on. The main effective factors are distinguishing limit decided by the diffraction of the light,MTF(Modulate Transfer Function) of the imaging system,NSR(Noise Signal Ratio) and the design of imaging system. This paper is based on the entropy theory and the property of image information,bring forward the principle theory of varied information entropy, provided the conception, definition,method and character analysis. The experiment for bar images and remote sensing images of tsunami area approved that the method can be qualified to measure the spatial resolution in horizontal and vertical directions for the varied information equably, and provide a new method for the qualified measuring the image spatial resolution.
摘要:The Indian Ocean Tsunami disaster occurred on December 26 in 2004. This paper introduces the method and the result for monitoring and assessing this Tsunami disaster by the usage of new generation Moderate Resolution data from the British Disaster Monitoring Constellation(DMC). The multi-spectrum bands resolution is 32 meter. This work takes Aceh province of Indonesia as a case study. By pre-processing of DMC image, the analysis of the spectrum information for damaged ground objects, the contrast analysis of the interesting areas and their environment background information, the interpretation keys for each loss degree in grade has been established. Through interpreting DMC image, the boundary of all the damaged objects was elelineated according to the loss extent, then statistics and analysis were made for the tsunami disaster extent of disaster losses. Fast and macroscopic is its characteristic. The results of this paper show that the method is feasibly. It provides the objective and referenced information for the assistance of Chinese government. Moreover, it will provide the methodology for other disasters, and the application supports for the application of coming Disaster and Environment Forecast Constellation and Chinese DMC.
摘要:Tsunami giant waves, on December 26, 2004, crashed into Indonesia, Sri Lanka, India and many southern Asia countries, which caused loss of life, widespread human suffering and huge economic losses. The management of this devastation urged people to reconsider their public security system. An agreement has been reached that timely images of disaster-stricken areas are of great value in emergency administration. In such context, Disaster Monitoring Constellation(DMC) has become a desirable means of information collection: its daily imaging revisit capability made it possible to obtain local images, when the calamity occurs. In this paper, a brief disaster assessment was made, based on the comparison between land covers in Aceh province, before and after the tsunami. The results of this study indicate that the DMC images have great potential in related applications.
摘要:A huge magnitude 9.0 earthquake occurred besides western coast of Sumatra Island, Indonesia on December 26, 2004. The earthquake created the huge tsunami in many countries along Indian Ocean, such as Indonesia, Sri Lanka, Thailand, India and so on. Tsunami disaster damage in Banda Arch province of Indonesia is one of most serious events in the world. In order to assess the tsunami disaster damage, a scene of Disaster Monitoring Consortium (DMC) satellite image received on January 7, 2005, after the catastrophe, and several Landsat7 ETM+ images received before earthquake were collected. Based on Remote Sensing and GIS technology, the tsunami disaster monitoring and quick assessment have been carried out. The result shows that the western coast of Sumatra Island in Arch province, near earthquake center, suffered more seriously from tsunami disaster, and the eastern coast damage is insignificantly. In the whole Arch province, the loss of Banda Arch city, capital of Arch, is most serious. About 483 square kilometers area had been flooded due to tsunami in western coast of Sumatra island of Arch province, including 26 square kilometers urban building area, 430 square kilometers rural area and 27 square kilometers water area, such as wetland, lake and pond. In the end, Digital Elevation Model(DEM) is used to analyze the relation between terrain and tsunami destruction. The result shows that the elevation of flooded area due to tsunami, in general, is below 20 meters.
摘要:In this paper, tsunami hazard monitoring system with Small Satellite applied on geological hazard is introduced. The DMC 32-meter multi-spectral remote sensing image acquired on 7 January 2005 for hazard areas in Sumatra Island, Indonesia was processed with image geometric correction, place name annotation, band combination with B2(R), B1(G), B3(B) and histogram enhancement. The produced image shows that although the overall texture, which show collectively information is weak due to dense vegetation, it is useful to tsunami hazard areas. In order to enhance tone difference of the different plant cover areas and textural information at the different regions, the data processing experiment based on ratio transform and combination has been done to enhance the image texture character, this is in effect benefit to enhance spatial texture information. Based on the DMC enhanced image map, by man-computer interactive interpretative way, the obvious disciplinary linear and ring texture information are extracted and then mapped, regarding it as basic information for further analysis to this area structure activity and geological hazard caused by active tecfonics. By means of synthetic analysis for image texture information, a lot of linear information and some ring information, as well as some image sign of volcanic apparatus are found in this area. These image characteristics are possibly related local geological activities, such as neo-tectonic, active fault, and volcanic active center and volcanic apparatus etc. Considering the known geologic information, the DMC 3-D image and the early TM images, and focusing on the special relief feature and drainage, the character of linear feature distribution shown on remote sensing image and remote sensing explanation signs for typical geologic body and fault structure, a part of linear and ring image features are explained in term of geological content. The north to west strike fault is considered as dominant fault, ranking second is the north-east strike fault which is the matched uprightness to former one. The fault distribution character with potential controlling or inducing geological hazard in this area is initially analyzed, furthermore, three regions of easily broken geological hazard of mud-rock flow, collapse and landslide and two potential burst districts of volcanic activity are predicted. These deduced target places have the precondition and condition of the form,pass and accumulation for mud-rock flow, collapse and landslide, and if the plant cover are suffered from being destroyed and heavy rain, then it is possible to produce those geologic disasters. The volcanic activity areas are almost located into the junction parts along north-east fault zone with north-west fault zone. Considering the geological structure and remote sensing image character, the earthquake and volcanic activity could be activated and revived after undergone plate movement, and possibly form next new geological hazard. Generally speaking, the above mentioned remote sensing geologic information which ought to further be investigated and confirmed from related materials and practice, will benefit for reducing disaster, and fighting natural disaster on the island. For fundament establishment reconstruction after this great earthquake and tsunami hazard, this has an important significance.
关键词:DMC Small Satellite;linear information extraction;fault;volcanic;geologic disaster