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《Geomatics & Spatial Information Technology》 2013-09
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Optimal Scale Selection Research of High-Resolution Remote Sensing Images of Rare Earth Mine in Ganzhou

YUAN Xiu-hua;LUO Wei;WANG Cong-ying;Jiangxi University of Science and Technology;  
Sincehigh resolution remote sensing image is widely used in the work of mining classification,the technologies of object-oriented multi-scale segmentation become a hot topic. The selection of the optimal scale is the key to such technology. In order to obtain the optimal segmentation scale for high resolution sensing image,high-resolution remote sensing images of Ganzhou rare earth mines are selected as source data and RMAS( Ratio of Mean Difference to Neighbors( ABS) to Standard Deviation) method to obtain the optimal scale in the paper. Segmentation results are evaluated by segmentation quality value,and the study proves the feasibility of RMAS method.
【Fund】: 国家自然科学基金项目(41101322);; 江西省自然科学基金项目(20114BAB213022)资助
【CateGory Index】: P237
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 ZHANG Jun1, WANG Yunjia2, LI Yan2, WANG Xingfeng2 1. No.3 Topographic Survey Team, State Bureau of Surveying and Mapping, Harbin 150081, China 2. School of Environment & Spatial Informatics, China University of Mining and Technology, Xuzhou 221008, Jiangsu Province, China;An Object-Oriented Optimal Scale Choice Method for High Spatial Resolution Remote Sensing Image[J];Science & Technology Review;2009-21
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 ZHANG Jun WANG Baoshan ZHANG Zhiqiang(3 Topographic Survey Team of SBSM,2 Ceihui Road Nangang District,Hrbin 150081,China);HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGE CLASSIFICATION BASED ON OBJECT-ORIENTED MULTI-FEATURES[J];Journal of Geomatics;2010-03
2 Xueru Zhang;Yili Zhang;Linshan Liu;Jiping Zhang;Institute of Geographic Sciences and Natural Resource Research,CAS;Graduate University of Chinese Academy of Sciences;;Simulating potential vegetation distribution in a mountainous region of the Eastern Tibetan Plateau:A case study of Barkam County[J];中国人口.资源与环境(英文版);2013-02
3 LIN Hui1,2,3,LIU Pei1,DU Peijun1,XIA Junshi1 1.School of Environment Science and Spatial Informatics,China University of Mining and Technology,Xuzhou,Jiangsu 221009,China 2.School of Geodesy and Geomatics,Xuzhou Normal University,Xuzhou,Jiangsu 221116,China 3.Digital Land Key Lab of Jiangxi Province,East China Institute of Technology,Fuzhou,Jiangxi 344000,China;Research on multi-scale segmentation algorithm of high-resolution remote sensing imagery based on improved statistical region merging[J];Computer Engineering and Applications;2012-18
4 Sun Xiaoyan;2Du Huaqiang;2Han Ning;2Ge Hongli;2Gu Chengyan;Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration Zhejiang A & F University;School of Environmental and Resources Science,Zhejiang A & F University;;Multi-Scale Segmentation,Object-Based Extraction of Moso Bamboo Forest from SPOT5 Imagery[J];Scientia Silvae Sinicae;2013-10
5 KUANG Run-yuan;YUAN Xiu-hua;LUO Wei;ZHANG Meng;WANG Cong-ying;School of Architectural and Surveying & Mapping Engineering, Jiangxi University of Science and Technology;;Optimal scale selection base on CBERS-02B high-resolution remote sensing images[J];Journal of Jiangxi University of Science and Technology;2013-05
6 CHEN Chun-lei1,2,WU Gang1(1.School of Information Science & Technology,Beijing Forestry University,Beijing 100083,China;2.Zhejiang Forest Resources Monitoring Center,Hangzhou 310020,China);Evaluation of Optimal Segmentation Scale with Object-oriented Method in Remote Sensing[J];Remote Sensing Technology and Application;2011-01
7 LI Gang~1,WAN You-chuan~1,GUAN Yu-juan~2 1.School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China 2.Periodicals Agency,Shanghai University,Shanghai 200444,China;Multi-granularity Synthesis Segmentation of Remote Sensing Image Based on Quotient Space Theory[J];Journal of Applied Sciences;2011-04
8 Qiang Zhenping,Di Guangzhi,Chen Xu(School of Computer and Information,Southwest Forestry University,Kunming650224 China);Land Use Classification of Remote Sensing Images Fuzzy Rules based on Fuzzy Subsets[J];Remote Sensing Technology and Application;2013-04
9 Qin Kun;Chen Yixiang;Gan Shunzi;Feng Xia;Ren Wenli;School of Remote Sensing and Information Engineering,Wuhan University;;Review on methods of spatial structural feature modeling of high resolution remote sensing images[J];Journal of Image and Graphics;2013-09
10 Chen Chen;Zhang Yongcheng;Qinghai Agriculture and Forestry Academy of Sciences;Key Laboratory of Potato of Qinghai Province;;The Difference Between Stomatal Density and Chlorophyll Content of Different Potato Varieties[J];Chinese Agricultural Science Bulletin;2013-27
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