最新刊期
卷 ， 期 3 ， 2006
- 摘要：In this paper,an algorithm of mining multi-level spatial association rules is presented which’s based on theme.We called the algorithm as FTMLSAM in the paper.In FTMLSAM,it first constructs the concept relation based on the thems on which the user is interested.Second,it joins the spatial layers which are used in the data mining.Last it turns spatial association mining into association mining by attribute generalizing.It is proved right from the experiment.关键词：data mining;spatial association rule;based on thematic;multi-layer spatial concept lattice
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发布时间：2021-06-10 - 摘要：Water-surface Oil Spill is one of the most popular pollution of water,In the process of reflecting,scattering and transmiting electromagnetic wave,it can produce polarized characteristics which are related to the nature themselves;therefore,detecting Water-surface Oil Spill’ multi-angle polarization information becomes a new method of quantitative remote sensing.For polarized reflectance always goes with bidirectional reflectance,we can attain the polarized three-dimensional spatial distribution of the targets by a polarimeter when detecting its bidirectional reflectance.From the point of view of multi-angle polarized remote sensing mechanism,this paper studied the quantitative relation between polarized BRDF and BRDF of Water-surface Oil Spill,and from the experimentations testified its equality of the reflectance of bidirectional reflect,polarized reflect of 45 degree and polarized reflect of mean value in the corresponding azimuth angle,zenith angle,detection angle and detection channels in 2π space.关键词：polarized reflect;bidirectional reflect;multi-angle;quantitative remote sensing;oil spill pollution
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发布时间：2021-06-10 - 摘要：Reference control points（RCPs） used to establish the regression model in registration are commonly assumed "perfect".However,this assumption is often violated in practice due to the reason that RCPs actually always containing errors.Moreover,the errors in RCPs are one of main sources lowering the accuracy of image registration of uncorrected image.In this case Ordinary least squares（OLS） estimator,widely used in the image registration of remotely sensed data,is biased and does not have the ability to handle explanatory variables with error and to propagate appropriately errors from RCPs to the corrected image.In this paper,we introduce the consistent adjusted least squares（CALS） estimator and propose a relaxed consistent adjusted least squares（RCALS） method,which can be applied to more general relationship,for registration.These estimators have good capability in correcting errors contained in the RCPs,and to propagate correctly errors of the RCPs to the corrected image with and without prior information.The objective of the CALS and our proposed RCALS estimators is to improve the accuracy of measurement value by weakening the measurement errors.For validating CALS and RCALS estimators,we employ the CALS and RCALS estimators using real-life remotely sensed data.It has been argued and demonstrated that CALS and RCALS estimators give superior overall performances in estimating the regression coefficients and variance of measurement error.关键词：image registration;error propagation;OLS;CALS;RCALS;simulation analysis
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发布时间：2021-06-10 - 摘要：In ocean color remote sensing,Rayleigh scattering dominates the signal measured at the top-of-atmosphere（TOA）.Therefore,as the first step in atmospheric correction,Rayleigh scattering item must be computed accurately and removed from the sensor measured total signal.According to the four bands of HY-1A CCD,Rayleigh reflectance under various conditions is computed using 6S model.Based on the computations,the Rayleigh reflectance features are analyzed,including the effect of atmospheric type,wavelength and band averaging resulting from the broad band width of this sensor.The HY-1A CCD Rayleigh lookup tables are generated,and applied to the remotely sensed data processing with the primary evaluation of its validity.关键词：HY-1A CCD;rayleigh reflectance;look-up tables;6S
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发布时间：2021-06-10 - 摘要：Spectral Mixture Analysis（SMA） is a straightforward and efficient approach to the spectral decomposition of hyperspectral remotely sensed scenes,Once a SMA model is developed,land cover proportions can be estimated from pixel values through model inversion.In this paper,we propose to estimate abundances from hyperspectral image using support vector regression（SVR） method.SVR method for abundance estimation can be essentially regarded as function approximation and generalization problem.Differing from other nonlinear regressive approaches which require predefined nonlinear mapping functions,this method transferred each spectral pixel into a high-dimension feature space by a kernel function,which will result in a spectral pixel in a feature space consisting of possibly many nonlinear combinations of the spectral bands of the original spectral signature.In this way the higher order relationships between the mixed pixels are exploited in the feature space.Projection iterative method has been used for endmember abstraction from the image,and then simulating nonlinear training and testing data by Hapke’s approximation function.Experiment of simulating data and real hyperspectral image（Pushbroom Hyperspectral Imager,PHI） are conducted to validate the procedures.The experiments show that the method can provide better result of abundance estimation for hyperspectral image as compared with that of radial basis function-neural networks.In our simulating test,over 97% of the total pixels in the image lie within the bound of ±0.1,and the RMSE are no more than 3.5%.关键词：spectral unmixing;iterative projection;support vector regression;nonlinear
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发布时间：2021-06-10 - 摘要：Through analysis of present situation of Informational Construction in Urban Environmental Protection Bureaus of China,the Urban Environmental Protection Information System based on ComGIS is designed in this paper.Key technologies such as data organization and functionality designation are studied,and development environment and integration technology are analyzed.Through analyzing the characteristics of environmental management of Yangzhou city,and establishing urban environmental geo-spatial data base and attribute data base,Yangzhou Environmental Protection Information System was developed based on comGIS,including Fundamental Map module,Accessing Data module,Geometry Object module,Output module,etc,as well as Fundamental Platform for Information sharing and Pollution Managing Subsystem.It realized visualization in managing information about environmental protection,and provided scientific supports for Yangzhou environmental management.关键词：environmental protection information system;comGIS;data sharing
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发布时间：2021-06-10 - 摘要：Remotely sensed data is becoming more and more important in GIS application.Data conversion between raster and vector is one of the key technologies for the integration of RS and GIS.In this paper,we analyzed the relations between pixel and pixel in the classified raster map.Based on the relations, all vector points and the connection information between them can be extracted. All arcs are traced rapidly by using the connection information between points. Polygons and the topological information between polygons are built automatically from the arcs.Finally,the experiment demonstrates that the method is a highly efficient scheme to automatically convert classified raster map to general format GIS data.关键词：Arc;polygon;vectorization;data conversion
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发布时间：2021-06-10 - 摘要：The advantages and disadvantages in remote sensing image classification methods at present are analyzed,in cluding maximum likelihood classification（（MLC）;） Artificial neural networks（（ANN）） classification;Logic reasoning classification based on symbol and rules.In order to advance remote sensing image classification,multi-resouce spatial database is set up by means of GIS,the thought and concept of data mining are imported,and the remote sensing image classification frame is brought forward.The concept of classification,and the index of judging splitting point on continuous valued attributes samples are defined,a new algorithm is proposed,which mines classification rules on the continuous valued attributes spatial database.A trail area is selected,the two projects are put in practice,which are based on Spectra Data,combining of Spectra data and DEM data respectively,mining classification rules,classifying remote sensing image by the way of the algorithm,and comparing their classification accuracy.Trail outcome shows that:（1） the classification accuracy of the algorithm is good;（2） integrating DEM and other correlative data into the spatial database can advance classification accuracy.The way of mining classification rules being applied to remote sensing image classification broaden the channel of knowledge discovery in logic reasoning classification based on symbol and rules,advance the capability of discovering classification rules automatically.The new algorithm mining classification rules on the continuous valued attributes enlarge the adaptability of inducing learning algorithm to the classification of the continuous valued attributes samples.关键词：remote sensing image classification;Geographic information system;multi-source spatial data;data mining;classification rules
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发布时间：2021-06-10 - 摘要：The relative radiometric correction is the first step of processing and analyzing of multitemporal remote sensing images.In this paper,a new method based on wavelet transform is proposed on the basis of a through study on the three traditional ones.This new method was implemented by doing relative radiometric correction only on the low frequency component of wavelet transform domain of the source image,and just remaining the high frequency components unchanged.The reconstructed image has the characteristic of keeping the high frequency information,so the radiometric diversities in the source image due to ground changes are reserved.关键词：multitemporal remote sensing images;radiometric correction;gray level distribution;radiometric characteristic;wavelet transform
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发布时间：2021-06-10 - 摘要：A CFAR target detection method is proposed for nonhomogeneous environment in UWBSAR image with variability index and order-statistics CFAR detection.The method can select appropriate cells in non-homogenous regions for clutter environment power estimation.The designed detector can keep CFAR performance in multi-targets environment and irregular boundary of non-homogenous regions.Experimental results show that the novel method can offer better detection performance than traditional cell average CFAR detection methods.关键词：UWBSAR;CFAR;nonhomogeneous environment;variability index
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发布时间：2021-06-10 - 摘要：According to the first geographic law of Tobler and the Marr’s machine vision theory,an algorithm to segmenting multi-spectral remote sensing imageries has been put forward based on the edge information extracted from them.This algorithm consists of four steps listed below:（1） Detecting edge information in each band of remote sensing imageries using a improved Canny method;（2） Integrating edge information in each band of remote sensing imageries into a binary image by methods such as overlay technique in GIS technology,and then thinning edges in the binary image by techniques of mathematical morphology using a rectangle probe;（3） conjoining disconnected edges according to the characteristics of processing edge such as length,direction and so on,to close each region;（4） at last,labeling region and remove abundant edges that do not compose region.Then,the multi-spectral remote sensing imageries of Quickbird covering the Kumamoto city,Japan,have been taken as a case study for this algorithm,and the result has been compared with other segmentation algorithms such as Multi-Threshold Gray Slice Approach（MTGSA）,Iterative Self-Organized Data Analysis Technology Algorithm（ISODATA） image segmentation algorithm,Watershed Segmentation Algorithm（WSA）,Fractal Net Evolution Approach（FNEA） and so on.Based on the comparative analysis,conclusions could be drawn out that（1） In term of utilizing brightness information of each band,the scope that the algorithm proposed in the paper is the most comprehensive one,and MTGSA and WSA can only use single band of multi-spectral remote sensing image;（2） The result of this algorithm could be the most satisfied,as it detects edge information of each spectral band respectively,and then integrates as well as connects them together,maximally digging out the detailed features in remote sensing imageries;（3） In the aspect of computational duration,this algorithm is relatively a bit faster than others under the same environment.As the same as the other three approaches,the algorithm proposed in the paper has also confronted the common difficulty of how to confirm the coefficient in the image segmentation procedure.关键词：edge detection;edge link;multi-spectral remote sensing image;image segmentation
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发布时间：2021-06-10 - 摘要：A fast segmentation approach for multi-band remote—sensing images was proposed.First,remote—sensing images were quantized.Second,local homogeneity gradient images were produced based on quantization results.Third,a fast watershed transform was applied to gradient images to perform initial segmentation.Finally,an efficient region merging approach was implemented to obtain final segmentation results.To validate the proposed approach,experiments on Quickbird images were performed,and segmentation evaluations were conducted.Evaluation results indicated that the proposed approach was a suitable one for segmenting remote—sensing images,which is better than the Multiresolution segmentation approach with respect to segmentation speed and accuracy.关键词：local homogeneity gradient;remote sensing images;watershed transform;region merging;segmentation
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发布时间：2021-06-10 - 摘要：In order to assure the application of thematic classification,it is very important and necessary to make a rigorous accuracy assessment.In this paper,we use sampling-methods of point and cluster sample to assess the accuracy of the same region’s land-use/land-cover thematic maps,which are derived from different resolution remote sensing data.Here,Sampling designs are consisted of simple random,systematic and stratified sampling.The results are as following.Firstly,the sampling design has great impact on the accuracy of remote sensing classification.There exists great randomicity on the result of points and cluster sample verification on the different Sampling design.On the same sampling design,the stability of point sample verification is higher than that of Cluster sample verification.Secondly,the average accuracy of different sampling designs of multi-point and multi-cluster sample verification can reflect the accuracy characteristic.During the course of point sample verification,stratified sampling’s error is lower than others’.During the course of cluster sample verification,systematic sampling and stratified sampling’s accuracy are prior to simple random sampling’s.关键词：remote sensing classification;accuracy assessment;point sample;cluster sample
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发布时间：2021-06-10 - 摘要：Matching remote sensing imagery and GIS data is very important and a key step for applications of the imagery and integration of the imagery and GIS.The general approach includes following steps: control points selection,computation of rectification model parameters of the image and rectification of the whole image pixel by pixel.But the processing is very time-consuming when performed manually.To improve the processing efficiency,we present a new method based on area features.Our approach,guided by GIS knowledge,iteratively extracts an area feature and matches area features simultaneously.The matching experiment,which uses a QUBICKBIRD image and（1∶2000） GIS data in Pudong,Shanghai is presented.Comparison of the results of our approach and that of the traditional method indicates that the new approach can obtain better accuracy with limited manual operations.关键词：remote sensing image;GIS;feature matching;feature extraction;image rectification
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发布时间：2021-06-10 - 摘要：Spatial and temporal distributions of suspended sediment concentrations are greatly important for analyzing the deposition and erosion variety of the estuary and coast,evaluating the material fluxes from river to sea,and studying oceanic sediment velocity and environment.The spectrometry imagery technology includes three kinds of spatial,radiation and spectral information.The Chinese Moderate Resolution Imaging Spectroradiometer（CMODIS） with 34 bands was loaded on the China’s SZ-3 spacecraft on March 25,2002.Making use of the CMODIS data,this paper presents the retrievals of the suspended sediment concentrations and its spatial and temporal distributions in the Yangtze River estuary with the field measurements.关键词：the SZ-3 spacecraft;CMODIS;Suspended sediment;Yangtze River
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发布时间：2021-06-10 - 摘要：Guangdong in south China has the largest area of mangrove wetlands in China.However,the mangrove wetlands have been rapidly diminishing because of the rapid urbanization.Remote sensing can be used to provide important information for the protection of the mangrove wetlands.Traditional optical remote sensing has difficulties in monitoring the wetlands in this region because of frequent cloud covers.The well-known NDVI index from optical remote sensing has drawbacks in obtaining the trunk information for mangrove forests.In this paper,comparisons were made between the NDVI models and backscatter models in estimating wetland biomass.Regression and analytical models were used to establish the relationships between remote sensing data and wetland biomass.The optimal parameter values for the analytical model were determined by using genetic algorithms.Experiments indicate that the models using radar remote sensing data have significant accuracy improvement in terms of Root Mean-Square Error（RMSE）.It is found that the use of the single NDVI index may produce serious errors in biomass estimation.The errors occur because some herbaceous species with dense canopy,such as Spartina anglica,may have much higher NDVI values than mangrove forests.关键词：radar remote sensing;genetic algorithms;biomass;mangrove wetlands;NDVI
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发布时间：2021-06-10 - 摘要：This paper explores the route panorama and its integration with geographic information system for a visual indexing of a route and city.A more detailed layer than a road map in GIS systems associated with real cityscapes is introduced and implemented.Sequential route panoramas with small amount of data,continuous coverage of route scenes are acquired along all streets in an urban area.We construct an Internet based virtual city for free navigation in the area.Different visualization approaches realize fast streaming of visual data over the Internet and dynamic rendering of scenes in respond to viewer’s interaction.The integration of the route panorama with the GIS provides a visual index for discovery and retrieval of the information related to cities and geographic spaces.The applications of the route panorama are applied to city navigation,scene archiving,virtual tour,modeling and simulation,georeferencing,etc.关键词：route panorama;GIS;city navigation;Internet media
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发布时间：2021-06-10 - 摘要：On the basis of analyzing the characteristic of two-scale model and direct emissivity model,a new model named high-order Stokes vector model is presented.The four Stokes components of brightness temperature and emissivity are solved using the high-order small perturbation method（HSPM）.The modified effect by the complex index of refraction,wind speed and foam is quantitatively analyzed.Compared with a set of measured data,numerical computations of the brightness temperature by moment method and HSPM for actual rough sea surface are given.The results show that the new method is validity.关键词：rough sea surface;Stokes vector model;emissivity;brightness temperature;high-order small perturbation method
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发布时间：2021-06-10 - 摘要：Oil storage tanks are usually distributed closely in groups,while the false targets generally distract from each other.A region-growing clustering method is proposed in this paper,which can not only localize oil tanks but also remove the false oil tank targets automatically.The experimental results with real remote sensing images indicate that this method can localize oil house accurately,effectively,and at meantime is a practical and fast clustering method.关键词：region-growing;clustering;oil house detection;remote sensing image
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发布时间：2021-06-10 - 摘要：Climate indicators suggest a warming of the Earth.Since vegetation elicits seasonal dynamics and annual changes,the monitoring of vegetation change is an important activity to study global climatic change.The daily temporal resolution and global coverage of some satellite sensors make it possible to monitor vegetation at different spatial and temporal scales globally.The pre-processing of remote sensing（RS） data affects monitoring results directly,so a lot of international organizations perform global satellite data acquisition to receive,process,and create data sets,which strongly supports this work.Indications exist as well that an increase in global and specifically boreal vegetation activity occurs.The middle and high latitude region of the Northern Hemisphere show a widely increasing vegetation activity while arid and semi-arid regions elicit a decrease in vegetation photosynthesis in the Southern Hemisphere.It is suggested that precipitation and temperature are the primary drivers for inter-annual vegetation changes.Vegetation cover changes are also highly related to ecosystems susceptible to global climate change.关键词：vegetation;inter-annual change;climatic driving factor;remote sensing
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发布时间：2021-06-10
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