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Principle of small target detection for hyperspectral imagery

Science china Earth Sciences 2007年第8期50卷 1225-1231页

作者： geng xiurui1,2.3.& zhao yongchao2.3.4 1 research center for remote sensing and gis, department of geography,{3., beijing 100875, china 2 State Key Laboratory of remote sensing Science, Chinese Academy of Sciences, beijing 100101, china 3.Institute of Erectronics, Chinese Academy of Sciences, beijing 100080, china 4 center for for Assessment and Monitoring of Forest and Environmental Resources and Division of Ecosystem Sciences {13. of California Berkeley, CA 94720-3.14, USA 1. research center for remote {3. and gis Department of Geography Beijing Normal University Beijing 100875 China 2. State Key Laboratory of remote sensing Science Chinese Academy of Sciences Beijing 100101 China 3. Institute of Erectronics Chinese Academy of Sciences Beijing 100080 China 4. center for for Assessment and Monitoring of Forest and Environmental Resources and Division of Ecosystem Sciences University of California Berkeley CA 94720-3114 USA

This paper generalizes the progress of algorithms in small target detection for hyperspectral imaging, and finds that whitening the image is the key point of many methods in small target detection. An al-gorithm is presented to detect desired targets by converting large targets into small ones based on the weighted sample autocorrelation matrix.

关键词： hyperspectral whiten target detection

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Matrix calculation of high-dimensional cross product and its application in automatic recognition of the endmembers of hyperspectral imagary

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Science china(Information Sciences) 2011年第1期54卷 197-203页

作者： geng xiurui1,zhao yongchao1,LIU SuHong2 & WANG FuXiang3.1Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics,Chinese Academy of Sciences,{3. 100080,china 2State Key Laboratory of remote sensing Science,Jointly Sponsored by beijing normal university and the Institute of remote sensing Applications of Chinese Academy of Sciences, School of geography,{3. normal {13.,{3. 100875,china 3.chool of Electronics and Information Engineering,Beihang {13.,{3. 100191,china 1. Key Laboratory of Technology in Geo-spatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences Beijing 100080 China2. State Key Laboratory of Remote Sensing Science Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences School of Geography Beijing Normal University Beijing 100875 China3. School of Electronics and Information Engineering Beihang University Beijing 100191 China

This paper gives the definition of the high-dimensional cross product and its calculation by extending the 3.D cross product definition into the high-dimensional vector *** on the properties of the cross product,the volume variance index(VVI)is proposed to be used in extracting automatically the endmembers of the hypherspectral imagery which eliminates the shortcoming of the traditional method of using simplex only where the extraction results were easily impacted by the abnormal pixels.A case study of endmembers extraction experiment using the VVI method with the AVIRIS data for Cuprite has shown a very good result.

关键词： endmember simplex hyperspectral imagery cross product

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Precise orbit determination of Haiyang‑2D using onboard BDS‑3.B1C/B2a observations with ambiguity resolution

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Satellite Navigation 2023年第3期4卷 167-184页

作者： Kecai Jiang Wenwen Li Min Li Jianghui geng Haixia Lyu Qile zhao Jingnan Liu GNSS research center Wuhan University129 Luoyu RoadWuhan 430079China Key Laboratory of Space Ocean remote sensing and Application Ministry of Natural Resources8 Dahui Temple RoadBeijing 10081China Collaborative Innovation center of Geospatial Technology 129 Luoyu RoadWuhan 430079China department of Land Surveying and Geo‑Informatics The Hong Kong Polytechnic University11 Yuk Choi RoadHung HomKowloonHong KongChina

The Haiyang-2D altimetry mission of china is one of the first Low Earth Orbit(LEO)satellites that can receive new B1C/B2a signals from the BeiDou-3.Navigation Satellite System(BDS-3.for Precise Orbit Determination(POD).In this work,the achievable accuracy of the single-receiver ambiguity resolution for onboard LEO satellites is studied based on the real measurements of new BDS-3.*** normal conditions,six BDS-3.satellites on average are ***,the multipath of the B1C/B2a code observations presents some patchy patterns that cause near-field variations with an amplitude of approximately 40 cm and deteriorate the ambiguity-fixed *** modeling those errors,for the B2a code,a remarkable reduction of 53.in the Root Mean Square(RMS)is achieved at high elevations,along with an increase of 8%in the ambiguity-fixed ***,an analysis of the onboard antenna’s phase center offsets reveals that when compared to the solutions with float ambiguities,the estimated values in the antenna’s Z direction in the solutions with fixed ambiguities are notably *** independent validation of the resulting POD using satellite laser ranging at 16 selected high-performance stations shows that the residuals are reduced by a minimum of 15.4%for ambiguity-fixed solutions with an RMS consistency of approximately 2.2 ***,when compared to the DORIS-derived orbits,a 4.3.cm 3. RMS consistency is achieved for the BDS-3.derived orbits,and the along-track bias is reduced from 2.9 to 0.4 cm using ambiguity fixing.

关键词： Ambiguity resolution B1C/B2a Onboard BDS-3 Precise orbit determination Haiyang-2D

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