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《Journal of Beijing Forestry University》 2005-S2
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Automatic segmentation of high-resolution remote sensing image based on mathematical morphology and maximum likelihood estimate.

JU Cun-yong~1;CAI Ti-jiu~1;FENG Zhong-ke~2.1 College of Forestry,Northeast Forestry University,Harbin,150040 P.R.China;2 Institute of GIS,RS & GPS,Beijing Forestry University,100083,P.R.China.  
Presently conventional methods hardly kept pace with the wide application of high-resolution remote sensing image.In this paper,a new classifying method based on mathematical morphology and maximum likelihood estimate was used successfully to segment high-resolution remote sensing image and automatically classify the usage of land.By means of interactively selecting samples,an eigenvector with three elements such as morphological gradient,top-hat transformation and grayscale mean was constructed.Then RS image segmentation was fulfilled with the maximum likelihood classification.Experiment processing was also listed in the passage.The classified image clearly showed that the method was efficient and significant,and it could be put into practice such as forestry resource assessment, land usage investigation and desertification monitoring and estimate.
【Fund】: 国家自然科学基金项目(30471424、90302014);; “863”国家高新技术项目(2003AA245030);; 北京市自然科学基金重点项目(4041002)
【CateGory Index】: TP751
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【References】
Chinese Journal Full-text Database 5 Hits
1 ZHANG Jun-sheng1,2; HOU Hui-lin2; ZHAO Xiao-xia2 1. Department of Electronic Engineering, Taiyuan Institute of Technology, Taiyuan 030008 China; 2. Key Laboratory of Instrumentation Sciences and Dynamic Testing, North University of China, Taiyuan 030051, China;A modified Otsu segmentation algorithm based on preprocessing by Top-hat transformation[J];传感器世界;2011-12
2 ZOU Lili,CUI Haishan* (Department of Geography,Guangzhou University,Guangzhou 510006,China);Study on Application of Data Fusion to Road Extraction[J];热带地理;2011-04
3 WANG Dong1,CHEN Yingying1,2,QIN Ping3 (1.Department of Surveying and Geo-informatics,Tongji University,Shanghai 200092,China;2.Research Center for Remote Sensing and Spatial Information,Tongji University,Shanghai 200092,China;3.East China Sea Marine Prediction Center,State Bureau of Oceanic Administration,Shanghai 200082,China);Method for Water Object Extraction in SAR Imagery Based on Morphology and Blind Source Separation[J];同济大学学报(自然科学版);2009-12
4 Chen Chao~1,Jiang Tao~(1,2),Yue Yuanping~3 (1.Department of Remote Sensing Science and Technology,College of Geomatics,Shandong University of Science and Technology,Qingdao,Shandong,266510 2.Shandong Provincial Key Laboratory of Fundamental Geography and Digital Technology,Shandong University of Science and Technology,Qingdao,Shandong,266510 3.No.94362 of PLA,Chengyang District,Qingdao,Shandong,266111);Application of Supervised Classification and Visual Revision in High Resolution Remote Sensing Image[J];国土资源信息化;2009-05
5 HAO Xiao-liang~1,PENG Lin-dan~1,CHEN Deng~2 (1.School of Resource and Environmental Science,Wuhan University,Wuhan 430079,China; 2.Jingzhou Institute of Land Survey and Planning,Jingzhou 434000,China);A Study of Ridge Coefficient Gaining Based on Principle of Image Classification[J];国土资源科技管理;2009-05
【Citations】
Chinese Journal Full-text Database 5 Hits
1 ZHAI Hui-qin ①,②,WANG Ming-xiao ①,ZHANG bao-ming ②,XIE Zhi-Gang ② (①Corps 68029;②Institute of Surveying and Mapping Information Engineering University, Zhengzhou Henan, 450052, China);A Method of Extracting Water on Remote Sensing Image Using Mathematics Morphology[J];遥感信息;2005-01
2 Yang Xiaoming;Li Zhenxiang. Super Full Technology Co., LTD.,Beijing,100027,P.R.China.;Application of stratum sampling to classification of RS image.[J];北京林业大学学报;2003-S1
3 WANG Yu, WANG Cheng, LIU Ji-ping (Huazhong University of Sci. & Tech.,Wuhan 430074,P.R.China);A Mathematical Morphological Algorithm for Edge Detection in Remotely Sensed Image[J];重庆邮电学院学报(自然科学版);2003-02
4 Wang Ranghui;Zhang Huizhi;You Xianxiang;Peng Ruyan. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi,Xinjiang, 830011, P.R.China.;Remote sensing information extraction and analysis on ecological landscape pattern in Tarim River Basin[J];北京林业大学学报;2003-02
5 ZHANG Qing-nian,Qin Jian-xin ( Institute of Geography,CAS 1 0 0 1 0 1 ,China);Identification and generalization of area clusters by mathematical morphology[J];地理研究;2000-01
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 YE Qin①,②,ZHZNG Xiaohu①,②,WANG Dong①,(①Dept.of Surveying and Geo-Informatics,Tongji University,Shanghai 200092;②Remote Sensing and Space Information Technology Research center,Tongji University,Shanghai 200092);A Road Extraction Method from High-resolution Remote Sensing Image Based on the Regional Growth and Space Shape Constraints[J];遥感信息;2010-02
2 Cai Youjie Chen Xiuhong(School of Information Technology,Jiangnan University,Wuxi 214122,Jiangsu,China);THE EDGE DETECTION BASED ON MORPHOLOGY[J];计算机应用与软件;2009-05
3 Shen Dajiang1,3 Wang Zheng2 Tian Jinwen3 (1 Wuhan Information Center of Land Resource and Real Estate,Wuhan 430015,China;2 Institute of Remote Sensing and Digital Engineering,Changjiang Spatial Information Technology Engineering Co Ltd,Wuhan 430010,China;3 Institute for Pattern Recognition and Artifical Intellingence,Huazhong University of Science and Technology,Wuhan 430074,China);Road networks detection in SAR images using tensor voting algorithm[J];华中科技大学学报(自然科学版);2009-04
4 LI Cheng-fan①,②,LIU lan③,ZHOU Ting-gang①,②,ZHANG Li①(①School of Geographical Science, Southwest China University, Chongqing 400715;②Key Laboratory of Eco-environments in Three Gorges Reservoir Region,Chongqing 400715;③School of Foreign Languages, Southwest China University, Chongqing 400715);Study on Road Extraction from High-resolution Remote Sensing Image Based on Street Trees[J];遥感信息;2009-01
5 DENG Lei1,LI Jing2,NIE Juan3,SUN Hong-quan1(1.College of Resources Science and Technology,Beijing 100875,China;2.Academy of Disaster Reduction and Emergency Management,Ministry of Civil Affairs/Ministry of Education of China,Beijing 100875,China;3.National Disaster Reduction Center of China,Beijing 100053,China);A method fusing SAR with multi-spectral image and reducing speckle noise[J];自然灾害学报;2008-06
6 XU Chun-yan1,2,FENG Xue-zhi1,ZHAO Shu-he1,XIAO Peng-feng1(1.Department of Geographical Information Sciences,Nanjing University,Jiangsu Nanjing 210093,China;2.Xinjiang Oil Transportation Division,China Petroleum West Pipeline Co.,Ltd,Xinjiang Urumqi 830063,China);Mathematical Morphological Segmentation of IKONOS Multispectral Data[J];遥感学报;2008-06
7 JIA Cheng-li1),ZHAO Ling-jun1),WU Qi-chang2),KUANG Gang-yao1)1)(School of Electronic Science and Engineering,NUDT,Changsha 410073)2)(Remote Sensing Information Research Institution,Beijing 100085);Automatic Road Extraction from SAR Imagery Based on Genetic Algorithm[J];中国图象图形学报;2008-06
8 LIU Sheng1,WANG Xiaoyu2,QIU Xinfa2(1 School of Computer & Software,Nanjing University of Information Science & Technology,Nanjing 210044,China;2 School of Remote Sensing,Nanjing University of Information Science & Technology,Nanjing 210044,China);Geometrical Features Extracting from High Spatial Resolution Images with Mathematical Morphology Methods[J];地球信息科学;2008-02
9 SHAO Yongshe1,2,CHEN Ying1,2,LIN Yi1,2,LI Jing3(1.Department of Surveying and Geo-informatics of Tongji University,Shanghai 200092,China;2.Research Center for Remote Sensing and Spatial Information of Tongji University,Shanghai 200092,China;3.Xi'an Research Institute of Survey and Mapping,Xi'an 710054,China);Research on Synthetic Aperture Radar Imagery Speckle Filter[J];同济大学学报(自然科学版);2008-02
10 HU De-yong1),2),LI Jing1),CHEN Yun-hao1),JIANG Wei-guo1)1)(State Key Laboratory of Earth Surface Processes and Resource Ecology,College of Resources Science& Technology,Beijing Normal University,Beijing 100875)2)(Key Laboratory of 3D Information Acquisition and Application of Ministry of Education,College of Resource Environment& Tourism,Capital Normal University,Beijing 100037);Water and Settlement Area Extraction from Single-band,Single-polarization SAR Images Based on SVM Method[J];中国图象图形学报;2008-02
【Secondary References】
Chinese Journal Full-text Database 7 Hits
1 Chen Lingyan;Liu Zhi;Zhang Hong;Institute of Surveying and Mapping,Information Engineering University;Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences;;SAR Image Water Extraction based on Scattering Characteristics[J];遥感技术与应用;2014-06
2 FEI Lan;GONG Chuangang;School of Geodesy & Geomatics,Anhui University of Science & Technology;;Accuracy evaluation of globe land cover products GLC2009 in typical regions in China[J];黑龙江科技大学学报;2014-06
3 DU Fu-guang;Department of Resource Management, Tangshan Teachers College;;The Analysis of Superiority in RS Information Extraction of Tangshan Nanhu by Using Object-Oriented Classification Method[J];唐山师范学院学报;2014-02
4 ZHENG Xiangdong;Research on the Land Classify Based on Remote Sensing[J];地理空间信息;2012-04
5 Zhang Guangqun Wang Hangjun(School of Information and Technology,Zhejiang A&F University Lin'an 311300);Multi-Objective Genetic Based Pore Combination Recognition[J];林业科学;2012-04
6 WANG Yu-li,MA Zhen(Xinjiang Formation of Production and Construction Investigation,Design &Research Institute,Urumqi Xinjiang 830002,China);Visual Interpretation TM Image Land Use Classification by Applied the Software of ENVI[J];现代测绘;2011-01
7 Zhang Fen Zhai Miaomiao Ding Qingfu (School of Population · Resources and Environment,Shandong Normal University,250014,Jinan,China);THE COMPARISON AND ANALYSIS RESEARCH ON THE RESULTS OF DIFFERENT SUPERVISED CLASSIFICATIONS[J];山东师范大学学报(自然科学版);2011-03
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