最新刊期
卷 14 ， 期 1 ， 2010
- 摘要：A comprehensive calibration and validation experiment of CBERS02B CCD was performed by the Center for National Spaceborne Demonstration at the Gongger site on October 12,2007 in order to support the quantitative application program of CBERS02B data and improve the quantitative application level of CBERS02B data.The reflectance-based method was used to obtain CCD calibration coefficients for the quantitative application program of CBERS02B CCD data.The validation of the calibration coefficients was carried out at Dunhuang test site to verify reliability of the coefficients.It was shown that the vicarious calibration results were in good agreement with the measurement values.It was concluded that the calibration coefficients was highly reliable.关键词：radiometric calibration and validation;CBERS02B CCD;calibration coefficient;reflectance-based method
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发布时间：2021-06-10 - 摘要：Leaf Area Index（LAI） is one of the most important parameters in describing the dynamics of vegetation on land surfaces.LAI products have been produced from data of many remote sensing satellite sensors,such as the Moderate Resolution Imaging Spectroradiometer（MODIS）.In this paper,we used the Dynamic Harmonic Regression（DHR） model to analyze the LAI time series products.The model can decompose the trend,seasonal and residuals components from the original time series, and predict the short-time LAI values.We use the DHR model to extract the time change information from the MODIS LAI time series products.The results show this method to be very effective in predicting the short-term LAI on the pixel basis.关键词：leaf area index（LAI）;time series;MODIS;DHR
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发布时间：2021-06-10 - 摘要：With the development of high-resolution SAR systems,it is necessary to develop image compression techniques to compress these products because the volume of data in SAR systems is increasing rapidly.Unlike the compression of SAR real images,the compression of SAR complex images usually needs to keep the phase information which is a difficulty task.In this paper,the correlation of complex SAR images data before and after the wavelet transform is analyzed.Then the theory and methodology of a wavelet-based compressing method for SAR complex images,the Wavelet Transform Block Adaptive Vector Quantization（WT-BAVQ） algorithm,is presented.At the same time,as the compression is performed to a SAR complex image with WT-BAVQ,the Average Spatial Correlation（ASC） and Average Phase Correlation Coefficient（APCC） are achieved and the decompressed image is given.Moreover,the comparison of ASC and APCC is made with Block Adaptive Vector Quantization（BAVQ）,Wavelet Transform Vector Quantization（WT-VQ） and wavelet transform block adaptive quantization （WT-BAQ）.The experiments manifest that with the same compression ratio,the ASC of WT-BAVQ is higher than that of the other three algorithms.关键词：SAR complex image;wavelet transform;block adaptive quantization;vector quantization
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发布时间：2021-06-10 - 摘要：In the general fusion framework of optical remote sensing image fusion,the extraction of spatial detail information is one of the two key aspects for the fusion quality.This paper discusses the possibility of constructing the low resolution panchromatic image based on band simulation using linear regression.Firstly,a linear regression equation between panchromatic and multispectral images was modeled,followed by setting weight metric from the corresponding high frequency component of the panchromatic image;then,low resolution panchromatic image was simulated by the regression parameters got in the first step and the spatial detail was extracted;finally,the pan-sharpening procedure was implemented with the spatial detail on IKONOS multispectral and panchromatic imagery.Compared with the method of achieving low resolution panchromatic image based on spectral response function,the proposed method can perform as good as,and sometimes even better than that according to four experiments.Also,the proposal shows its superiority over fast intensity-hue-saturation method.关键词：pan-sharpening;spatial detail information;band simulation
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发布时间：2021-06-10 - 摘要：In this paper,a digital identification method for a snowline is presented.The method takes into consideration that the lower limits of a perennially snow-covered area should only be deduced through contrasting with other limits.Thus,a method based on hydrological analysis was introduced to extract the snowline.Based on the digital elevation model（DEM） of the study area and the result of snow cover monitoring,the lowest point covered with snow could be recorded in one flow path. Through loop statements,all of the lowest points were determined by comparing the snow altitude in every flow path.The lowest points were then joined sequentially,according to the real landform,and shaped into snowlines.In addition,a method of computing the average annual snowline was analyzed.This method based on hydrological analysis can effectively avoid the influence of naked areas in snow cover,and shows promising results for the calculation of the lower boundary of a perennially snow-covered area.Spatial-temporal dynamics of snowlines can also be analyzed by the proposed method.The digital identification method presented here is effective at identifying a snowline,and could be helpful in rapid information extraction of a large-scale area.关键词：snowline;flow path;digital extraction
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发布时间：2021-06-10 - 摘要：The presentation of mixtures not only influences the performance of image classification and target recognition,but also is an obstacle to quantitative analysis of remote sensing images.Therefore,a novel spectrum filter based fully constrained mixture analysis algorithm is proposed in this paper to tackle this problem.The spectrum filter,which could wipe off the background spectrum in a mixed pixel,is firstly proposed to obtain the sum-to-one constrained fractional abundance of mixtures in remote sensing images.Since the precise endmember set of a mixture can be obtained by continually modifying the endmember space when minus abundance exists,the spectrum filter based iterative algorithm is present to realize fully constrained mixture analysis.Experimental analysis based on synthetic multispectral data set demonstrates that the proposed algorithm obviously outperforms the popular Fully Constrained Least Square unmixing（FCLS） algorithm and the Orthogonal Subspace Projection （OSP） algorithm.In addition,the proposed algorithm also achieves very promising performance on real hyperspectral images.关键词：spectrum filter;fully constrained unmixing;mixture analysis;multispectral/hyperspectral remote sensing
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发布时间：2021-06-10 - 摘要：In former researches,High Accuracy Surface Modelling（HASM） constructed based on the fundamental theory of surface is more accurate than the classical methods in DEM construction.In order to give HASM a full evaluation,this paper introduced terrain representation error（Etr）,which was calculated by multi-resolution comparative analysis.Terrain representation model was built,which was regressed against resolution.The total DEM simulation error containing interpolation RMSE, Etr,etc.,is calculated in terms of error propagation theory.Canonical surface and Dong-Zhi-Yuan in Gansu province of China were selected to validate the efficiency of our methods.The results showed that the method presented in this paper can give a full evaluation of DEM error.HASM can construct more accurate and higher resolution DEM than the classical methods.关键词：surface modeling;interpolation;DEM;error analysis
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发布时间：2021-06-10 - 摘要：In order to solve the problems that how to mine and express classification knowledge and rules in current remote sensing image classification,this paper introduces a new data mining theory of formal concept analysis,and realizes the connotation reduction of concept based on the minimum coverage of sets for ensuring the simplicity of classification rules.Meanwhile, the Fang city of Hubei province is selected to carry out the formal concept analysis theory to mine the land-use types classification rules,and construct a heuristic classifier based on the mined classification rules.The result shows that the mined classification rules have higher credibility,and the constructed classifier has higher accuracy compared with supervision classification and C4.5 algorithm,which proves that the theory of formal concept analysis provides a new method to achieve remote sensing image classification.关键词：formal concept analysis;concept lattice;remote sensing image classification
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发布时间：2021-06-10 - 摘要：Environment Satellite 1（HJ-1）,the first new kind satellite developed by China used for environment and disaster monitoring,was launched in September 2008.This satellite is the milestone of China’s environmental technology development and application.This article focuses on the application key technology research and business operations of HJ-1.First,it introduces and analyzes HJ-1 technologic parameters and provides HJ-1 data examples of CCD camera,infrared camera and byper -spectral imager.Furthermore,it analyzes and evaluates HJ-1 data quality in the aspects of geometric accuracy,radiance characteristic and so on.Second,this article proposes the HJ-1 application demand in the fields of large water body environmental remote sensing（RS） monitoring,regional air quality RS monitoring and macro eco-environmental satellite RS monitoring. Based on the demand,this article also designs the HJ-1 application scheme which includes operation flow and data product definitions.Finally,this article uses environmental parameter RS reversing methods to reverse aerosol optical thickness in Beijing -Tianjing-Tanggu（BTT） area and to monitor chlorophyll-a concentration in Chaohu lake.关键词：environment Satellite;HJ-1;Application;monitoring
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发布时间：2021-06-10 - 摘要：Based on ocean internal wave Synthetic Aperture Radar（SAR） imaging mechanism and the M4S model,which was applied to simulate the oceanic features of ocean surface,one new method for retrieving internal wave surface currents from SAR image is introduced.Firstly,accordingto the AH linear theory,the first guessed surface currents could be estimated from the normalized radar crossing section（NRCS） of the internal wave profile in SAR image,and the signal induced by internal wave surface currents can be simulated by M4S.Then the wind speed and internal wave surface currents gradients are modified using the dichotomy method step by step,which causes the simulated signal close to the NRCS measured from SAR image.Finally, the wind speed and the surface currents could be retrieved until a satisfied match between the simulated signals and SAR images.This method is tested on three ERS-2 SAR images in the South China Sea.The results show that the simulated internal wave signal is consistent with the NRCS of internal wave SAR images.Their correlation coefficients are up to 90%,which indicate that this method is convergent and applicable.关键词：SAR;internal wave;surface currents;Retrieval
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发布时间：2021-06-10 - 摘要：Petroleum pollutions exist in waters in various forms,which impacts its apparent optical properties and inherent optical properties.Field works has been carried out in the rivers in Panjin city,Liaoning province of China in May 2008 in order to understand this impact.The absorption coefficient data of yellow substance,De-pigment particles and phytoplankton pigments and the corresponding water samples for laboratory measurements of chlorophyll,petroleum pollutions,and suspended material were collected.Firstly,absorption spectral features of yellow substance,De-pigment particles and phytoplankton pigments in CaseⅡwater were analyzed.Secondly,the absorption spectral properties of yellow substance and phytoplankton pigments with petroleum pollutions were discussed.Finally,the impact of petroleum pollutions on water absorption properties was analyzed using the method of algebraic difference.The results showed that（1） whether there is petroleum substance or not in water body,the absorption spectra of yellow substance and de-pigment particles all follow e-exponential attenuation trend in the research region;（2） with the presence of petroleum pollution,the absorption coefficients of yellow substance and phytoplankton pigments are both increased;（3） the absorption spectral feature of petroleum pollution appears similar to those of the yellow substance and de-pigment particles by following an e-exponential attenuation trend.However,it is feasible to distinguish them because their spectral exponential slopes have obvious difference.关键词：petroleum pollutions;yellow substance;absorption properties;e-exponential slope
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发布时间：2021-06-10 - 摘要：The soft classification results of coarse-resolution data and the coarse & fine resolution variograms were derived, using the Landsat satellite data of the modem Yellow River Delta coast.Treating the fine-resolution indicator vriogram as the prior model of spatial structure of the study area,the super-resolution images of land & ocean class were generated using data exploratory analysis,indicator cokriging（ICK）,and sequential indicator co-simulation（SIcS） techniques.Then the spatial distribution features of the coastline were extracted by the contouring method.Taken human interpretation output as the benchmark the coastline mapping results derived from geostatistics showed better quality than that derived from traditional hard-classification methods.Super-resolution mapping techniques based on geostatistics can properly illustrate spatial distribution of coastline at fine scale;meanwhile maintain the class fraction values and the spatial structures of the original coarse-resolution data.By the form of super-resolution mapping of coastline,the potential of the geostatistical techniques in integrating multi-source and multi-scale spatial information has been demonstrated.关键词：remotely sensed data;geostatistics;coastline;super-resolution mapping;the modern Yellow River Delta
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发布时间：2021-06-10 - 摘要：A convenient multivariate statistical model is in general not available for the multi-spectral feature of land use（LU） class of remote sensing（RS） image,as one LU class is made up of several ground objects.Analyzing the spectral characteristics of LU of multispectral RS imagery,this paper presents a rule-based region multi-center（RMC） method.In the method,the clas-sification cell is pixel region,the classificatory pattern is a set of the classificatory intra-class centers which is confirmed by clustering the training samples,and the classification rules are the type amounts of intra-class center and the percentage of the pixels belonged to the class from the whole region pixels.RMC method can also be used to recognize the individual LU class from multi-spectral RS image.This method deals with the distribution problem by multi-center and based on rule method.There are much difference of the classificatory center amount and the pixel’s percentage among different LU class,so the selection of training area and the determinants of rules are easy.The results of experiment indicate that the LU classification accuracy is increased between 4%and 6%with this method.关键词：multispectral remote sensing imagery;land use classification;region multi-center（RMC）
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发布时间：2021-06-10 - 摘要：Land cover is a fundamental variable that links many facets of the natural environment and a key driver of global environmental change.Alterations in its status can have significant ramifications at local,regional and global levels.Hence,it is imperative to map land cover at a range of spatial and temporal scales with a view to understanding the inherent patterns for effective characterization,prediction and management of the potential environmental impacts.This paper presents the results of an effort to map land cover patterns in Kinangop division,Kenya,using geospatial tools.This is a geographic locality that has experienced rapid land use transformations since Kenya’s independence culminating in uncontrolled land cover changes and loss of biodiversity.The changes in land use/cover constrain the natural resource base and presuppose availability of quantitative and spatially explicit land cover data for understanding the inherent patterns and facilitating specific and multi-purpose land use planning and management.As such,the study had two objectives viz.（i） mapping the spatial patterns of land cover in Kinangop using remote sensing and GIS and;（ii） evaluating the quality of the resultant land cover map.ASTER satellite imagery acquired in January 23,2007 was procured and field data gathered between September l0 and October 16,2007.The latter were used for training the maximum likelihood classifier and validating the resultant land cover map.The land cover classification yielded 5 classes,overall accuracy of 83.5%and kappa statistic of 0.79,which conforms to the acceptable standards of land cover mapping. This qualifies its application in environmental decision-making and manifests the utility of geospatial techniques in mapping land resources.
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发布时间：2021-06-10 - 摘要：Remote sensing technique is able to quickly detect the distribution of the sites above and below the ground,and plays a constructive role in the present archaeological work,so it becomes an important tool for archaeological investigations. This article presented the fundamental principles of the remote sensing technique in detection of sites,and then listed comprehensively the general methods used and some successful applications,and finally reviewed the its functions,constraints and future development.关键词：remote sensing;archaeology;site;review
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发布时间：2021-06-10
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