Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Remote Sensing》 2003-01
Add to Favorite Get Latest Update

Automatic Recognition of Landscape Linear Features from High-Resolution Satellite Images

CHENG Cheng-qi, MA Ting (Institute of remote sensing & GIS, Peking University, Beijing 100871, China)  
The development of high-resolution sensors provided more methods for remote sensing mapping. High-resolution satellite imagery refers to those images of which spatial resolution is less than 10m. Information of linear features of landscape in high-resolution satellite images is very prolific. However, every part of a whole scene has different characters in spectrum space or gray space, because of immoderate specializations and influence of noise disturbances. This made it difficult to detect and recognize the linear features of landscape objects. The traditional single filtering method used to extract linear features of objects was confronted with some problems such as feature specializations. BRDF influences, geo-procedure scaling dependence etc. Method about extraction of structure information from high-resolution imagery is a key for application of this imagery. In this paper, we discussed a method based on image texture characters through designing filter cluster for the automatic detection and recognition. The filter cluster includes two filters, one is the high pass filter through which the borderline characteristics of the object in imagery can be detected, another is the statistical filter through which some noise made by high pass filter can be abated. In process of high pass filtering, how to select the size of filtering window is very important to precision. We had designed a proportion factor η to depict processing result. The test result indicated that the 7×7 filter window was the most appropriate in this research. After being transacted by the filter cluster, through selection of threshold on the test image which could control dividing pixels of background and objects, a vector layer that describing the linear features of object in landscape could be acquired through linear detection and tracking. A comparison of differences was finished between the results by traditional single filter and by multi-filter. The vector layer gained through multi-filtering has fewer noises than those only through single filtering. The result of test indicated that multi-filtering method could improve the precision of analysis, illustrate the possiblity of extracting automa- tically the vector information layers from high resolution satellite imagery, and provided technology basis for application of high-resolution satellite imagery.
【Fund】: 国家 8 6 3重点项目支持 (项目编号G2 0 0 1AA136 0 30 ).
【CateGory Index】: TP751
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
Chinese Journal Full-text Database 10 Hits
1 ZHANG Sui~1,CHEN Hui-juan~2,CHEN Peng-xiao~1(1.Yangze River Scientific Research Institute,Wuhan 430010,China;2.The Sec.NavigationalFairs Engineering Survey Design Institute of China Communication Ministry,Wuhan 430070,China);Analysis on Suspended Sediment of Changjiang Estuary by Remote Sensing[J];Journal of Yangtze River Scientific Research Institute;2005-05
2 LUO Jun1,2,PAN Yu-chun1,WANG Ji-hua1,LU Zhou1,CAO Rong-long1,2,YAN Guang-jian2,3(1.National Engineering Research Center for Information Technology in Agriculture,Beijing 100097;2.Research Center for Remote Sensing and GIS,College of Geography and RS,Beijing Normal University,Beijing 100875;3.State Key Laboratory of Remote Sensing Science,Beijing 100875,China);Study on Building Agricultural Resource Information Collection Technology Based on High-Resolution Remote Sensing Image[J];Geography and Geo-Information Science;2007-03
3 ZHAO Jun-juan~1, YIN Jing-yuan~1, SHAN Xin-jian~2 (1.Earthquake Administration of Shanghai, Shanghai 200062, China; 2.Institute of Geology, CEA, Beijing 100029, China);A Study on the Vectorization of Building Profile based on High-Resolution Satellite Image[J];Journal of Seismology;2004-02
4 QI Hao-ping~1,WANG Wei~1,TIAN Qing-jiu~2 (1.Transportation College,Southeast University,JiangsuNanjing210096,China 2.International Institute for Earth System Science, Nanjing University,JiangsuNanjing210093,China);Study on Application of High Resolution Remote Sensing Data in Urban Traffic Plan[J];Journal of Highway and Transportation Research and Development;2004-06
5 Wang Min Luo Jiancheng Ming Dongping(The State Key Laboratory of Resources&Environmental Information System,Chinese Academy of Sciences,Beijing100101);Transportation Centers Extraction from High Spatial Resolution Re mote Sensed Imagery[J];Computer Engineering and Applications;2004-23
6 GUO Yong-tao QI Hao-ping;The application of high resolution remote sensing technique in land information extraction and management[J];Shanxi Architecture;2007-28
7 Wang Zhonghua1,Liu Yihang2(1.Tangyuan Farm Tangyuan County Heilongjiang Province,Tangyuan 154703,China;2.Beijing Institute of Technology,Beijing 100081,China);Study on Building Agricultural High-resolution Remote Sensing Image Information Extract Technology[J];Journal of Agricultural Mechanization Research;2009-01
8 JIA Ling,ZHAO Yunsheng,ZHANG Jianhui,DONG Guihua(1.The College of Urban and Environment Science,Northeast Normal University,Changchun 130024,China;2.China National Environmental Monitoring Center,Beijing 100029,China);A Research for City Road Extraction from Satellite Image ETM+[J];Remote Sensing Technology and Application;2005-05
9 WANG Min,LUO Jian-cheng,ZHOU Cheng-hu,MING Dong-ping,CHEN Qiu-xiao,SHEN Zhan-feng (The State Key Laboratory of Resources&Environmental Information System,Institute of Geographical Sciences and Natural Resources,Chinese Academy of Sciences,A1,Datun Road,Anwai,Beijing 100101,China);Extraction of Road Network from High Resolution Remote Sensed Imagery with the Combination of Gaussian Markov Random Field Texture Model and Support Vector Machine[J];Journal of Remote Sensing;2005-03
10 ZHANG Jin-shui,HE Chun-yang,PAN Yao-zhong,LI Jing(Key Laboratory of Environmental Change and Natural Disaster,Ministry of Education of China,Beijing Normal University;College of Resources Science & Technology,Beijing Normal University,Beijing 100875,China);The High Spatial Resolution RS Image Classification Based on SVM Method with the Multi-Source Data[J];Journal of Remote Sensing;2006-01
China Proceedings of conference Full-text Database 1 Hits
1 XIAO Xiao bai, LI Pei jun ( Institute of Remote Sensing and Geographic Information System, Peking University , Beijing 100871, China);Extraction of Lineaments From Remote Sensing Images Using Directional Morphological Transformation Method[A];[C];2003
Chinese Journal Full-text Database 10 Hits
1 ZHANG Hai-xia et al (School of Environment and Mapping,China University of Mining & Technology,Xuzhou,Jiangsu 221008);Study on the Accuracy of Land Cover Classification of ETM+ Remote Sensing Image Fusion Method[J];Journal of Anhui Agricultural Sciences;2008-01
2 OUYANG Xin-yu,ZHAO Nan-nan,SONG Lei,XIE Yuan-dan(School of Electronic and Information Engineering,Anshan Institute of I.& S.Technology,Anshan 114044,China);Survey on Image Segmentation[J];Journal of Anshan Institute of Iron and Steel Technology;2002-05
3 GUO Shide LIN Xudong (Institute of Remote Sensing,Peking University,Beijing,100871) MA Ting (Institute of Geographic Sciences and Natural Resources,CAS,Beijing,100101);Some Key Techniques Research in Environmental Mapping Using High Spatial Resolution Remote Sensed Data[J];Acta Scicentiarum Naturalum Universitis Pekinesis;2004-01
4 CAO Wufeng\ QIN Qiming (Institute of Remote Sensing and Geographical Information System, Peking University,Beijing,100871);A Knowledge based Research for Road Extraction from Digital Satellite Images[J];ACTA SCICENTIARUM NATURALUM UNIVERSITIS PEKINESIS;1998-Z1
5 Wang Wenyu~1,Li Bo~2(1.School of Geomatics and Urban Information,Beijing 100044;2.School of Geography and Remote Sensing,Beijing Normal University,Beijing 100875);Auto-identify Classification Technology Adopted to High-resolution Remote Sensing Image by eCognition Software[J];Journal of Beijing Institute of Civil Engineering and Architecture;2006-04
6 GAO Yanyu, YANG Yang, CHEN Fei Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China JF Computer System Co. Ltd., Beijing 100083, China;Off-line handwritten Chinese character recognition based on fusion features and LS-SVM[J];Journal of University of Science and Technology Beijing;2005-04
7 LI Ying 1, ZHAO Wen_ji 2, LI Xiao_lin 1 (1.College of Geoexploration and Technology, Jilin University, Changchun 130026,China; 2.Capital Normal University, Beijing 100037,China);CLASSIFICATION OF RS-IMAGE AND RECOGNITION TECHNIQUE UTILIZE IN LAND AND SOURCES INVESTIGATING[J];Journal of Changchun University of Science and Technology;2001-03
8 YANG Chang-bao~1,DING Ji-hong~21.College of GeoExploration Science and Technology,Jilin University,Changchun 130026,China2.Center of Computer Commonality Teaching,Jilin University,Changchun 130026,China;Study of Object-Oriented Based Remote Sensing Image Classification[J];Journal of Jilin University(Earth Science Edition);2006-04
10 QI Hao-ping1, WANG Wei 1, YANG Jin-zhong2, WANG Hui-guang3(1. Southeast University, Nanjing 210096, China;2. China National Remote Sensing Center for Land and Resoures, Beijing 100083, China;3. Ningbo Traffic Design and Research Institute, Ningbo 315192, China);The engineering geological analysis on highway based on remote sensing technology[J];Engineering of Surveying and Mapping;2004-02
【Secondary References】
Chinese Journal Full-text Database 10 Hits
1 JIA Peng,YAN Pei-li,HE Jun,LI Xiang-ting (Xi'an Changing Technology Enginerring Co.,Xi'an 710018,China);Research on road extraction based on edge characteristic threshold segmentation[J];Engineering of Surveying and Mapping;2009-03
2 JIA Ping①,LI Hai-tao②,LIN Hui③,GU Hai-yan②,HAN Yan-shun②(①Information Center of Ministry of Land and Resources of People's Republic of China,Beijing 100812,China;②Institute of Photogrammetry and Remote Sensing,Chinese Academy of Surveying and Mapping,Beijing 100039,China;③Department of Territory Resource Information and Surveying Engineering of XuZhou Normal University,Jiangsu,Xuzhou221116,China);Research on multi-source remote sensing image classification based on SVM[J];Science of Surveying and Mapping;2008-04
3 CHEN Chen,ZHANG You-jing(School of Civil engineering,Hohai University,Nanjing 210098,China);The classification of SVM based on the multi-scale texture information and spectral information[J];Science of Surveying and Mapping;2009-01
4 ZHANG Yuan①, CHEN Liang①, WANG Wen-zhong①,WANG Jun-zhan②(①State Key Laboratory Of Hydrology-Water Resource And Hydraulic Engineering of Hohai University, Nanjing 210098,China; ②College of Civil Engineering, Hohai University, Nanjing 210098,China);Multi-source feature data selection for land cover classification using remote sensing image[J];Science of Surveying and Mapping;2009-02
5 ZHANG Fei①②③,Tashpolat.Tiyip①②,DING Jian-li①②,TIAN Yuan①②,Ilyas.Nurmuhammat①②①College of Resources and Environment Science,Xinjiang University Urumqi,Xinjiang 830046,China;②Key Laboratory of Oasis Ecology,Xinjiang University Urumqi,Xinjiang 830046,China;③Graduate school of Xinjiang University with Academic Degrees Committee,Urumqi 830046,China);Study on extracting of soil salinization by remote sensing based on SVM method with spectrum and texture information[J];Science of Surveying and Mapping;2009-03
6 LI Xiao-feng1,2,ZHANG Shu-qing1,HAN Fu-wei1,2,QIN Xi-wen1,2,YU Huan1,21.Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130012,China;2.Graduate University of Chinese Academy of Sciences,Beijing 100039,China;3.National Marine Environmental Monitoring Center,Dalian 116023,China;Road Extraction from High-resolution Remote Sensing Images Based on Multiple Information Fusion[J];Acta Geodaetica et Cartographica Sinica;2008-02
7 GUO Hongyi QIAN Chunming (Chengdu University of Technology,1 Dongsan Road,Erxianqiao Chengdu 610059,China);INVARIANT REXTURE CLASSIFICATION FOR REMOTE SENSING IMAGE IN WAVELET DOMAIN[J];Journal of Geomatics;2008-04
8 He Deping,Xiao Yong,Xiao Xingguo,Huang Yonghong,Zhou Qingren;Application of the Support Vector Machine in Remote Sensed Image Processing[J];Urban Geotechnical Investigation & Surveying;2006-03
9 Zhou Yi,Jing FengGuang (dept.of Surveying Engineering,Xi'an University of Science and Technology,Xi'an 710054,China);The Classify Method of Remote Sensing Image by Multiple Classifier Combination[J];Urban Geotechnical Investigation & Surveying;2008-02
10 Zhang YuFang(Zhangzhou Institute of Surveying and Mapping,Zhangzhou 363000,China);Water Area of Remote Sensing Image Edge Detection Method Based on Morphology Top-Hat and Bottom-Hat[J];Urban Geotechnical Investigation & Surveying;2009-01
China Proceedings of conference Full-text Database 3 Hits
1 SHEN Jia-shuang~(1,2),ZHAI Jin-sheng~2,GUO Hai-tao~1 (1.Institute of Surveying and Mapping,Information Engineering University,Zhengzhou,Henan,450052; 2.Navel Institute of Hydrographic Surveying and Charting,Tianjin,300061);Advances in Coastline Extraction Technology Studies[A];[C];2009
2 QIN Maoyun He Yiming (HaiKou Survey Mapping Service Center, HaiNan, China, 570105);High Spatial Resolution Remote Sensing Images Segmentation Based On Granularity[A];[C];2010
3 Cai Simin~a,Zhang Rongqun~(a,*),Liu Liming~b,Zhou De~b a Department of Information and Electrical Engineering,China Agricultural University,Beijing,China b Department of Resources and Environment,China Agricultural University,Beijing,China;A method of salt-affected soil information extraction based on a support vector machine with texture features[A];[C];2009
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved