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An Approach to Extracting Fractal in Remote Sensing Image
作者姓名:ZHU  Ji  LIN  Ziyu  WANG  Angsheng  CUI  Peng
作者单位:[1]Chengdu Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China [2]Graduate University of the Chinese Academy of Sciences, Beijing 100049, China [3]Department of Geoscience, East China Institute of Technology, Fuzhou 344000, Jiangxi, China [4]The Center of Disaster Reduction, Chinese Academy of Sciences, Beijing 100029, China
摘    要:In order to apply the spatial structure information to remote sensing interpretation through fractal theory, an algorithm is introduced to compute the single pixd fraetal dimension in remote sensing images. After a computer program was written according to the algorithm, the ETM+ images were calculated to obtain their fractal data through the program. The algorithm has following characteristics: The obtained fractal values indicate the complexity of image, and have positive correlation with the complexity of images and ground objects. Moreover, the algorithm is simple and reliable, and easy to be implemented.

关 键 词:遥感  图象处理  分形  计算机
文章编号:1007-1202(2006)03-0606-05
收稿时间:2005-09-12

An approach to extracting fractal in remote sensing image
ZHU Ji LIN Ziyu WANG Angsheng CUI Peng.An Approach to Extracting Fractal in Remote Sensing Image[J].Wuhan University Journal of Natural Sciences,2006,11(3):606-610.
Authors:Zhu Ji  Lin Ziyu  Wang Angsheng  Cui Peng
Institution:(1) Chengdu Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, 610041 Chengdu, China;(2) Graduate University of the Chinese Academy of Sciences, 100049 Beijing, China;(3) Department of Geoscience, East China Institute of Technology, 344000 Fuzhou, Jiangxi, China;(4) The Center of Disaster Reduction, Chinese Academy of Sciences, 100029 Beijing, China
Abstract:In order to apply the spatial structure information to remote sensing interpretation through fractal theory, an algorithm is introduced to compute the single pixel fractal dimension in remote sensing images. After a computer program was written according to the algorithm, the ETM+ images were calculated to obtain their fractal data through the program. The algorithm has following characteristics: The obtained fractal values indicate the complexity of image, and have positive correlation with the complexity of images and ground objects. Moreover, the algorithm is simple and reliable, and easy to be implemented.
Keywords:remote sensing image  fractal  fractal characteristics
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