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题名:
Virtual satellite construction and application for image classification
作者: Su, W.G.(1,2,3); Su, F.Z.(2); Zhou, C.H.(2)
通讯作者: Su, F.Z. (sufz@lreis.ac.cn)
产权排序: (1) Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research (YIC), Chinese Academy of Sciences (CAS), Yantai Shandong 264003, China ; (2) LREIS, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China ; (3) University of Chinese Academy of Sciences, Beijing 100049, China
会议名称: 35th International Symposium on Remote Sensing of Environment, ISRSE 2013
会议主办者: LDE; LIESMARS; NRSCC; REIS
会议日期: April 22, 2013 - April 26, 2013
会议地点: Beijing, China
会议录出版者: Institute of Physics Publishing
会议录: 35th International Symposium on Remote Sensing of Environment, ISRSE 2013
出版日期: 2014
卷号: 17
ISSN号: 1755-1307
英文摘要: Nowadays, most remote sensing image classification uses single satellite remote sensing data, so the number of bands and band spectral width is consistent. In addition, observed phenomenon such as land cover have the same spectral signature, which causes the classification accuracy to decrease as different data have unique characteristic. Therefore, this paper analyzes different optical remote sensing satellites, comparing the spectral differences and proposes the ideas and methods to build a virtual satellite. This article illustrates the research on the TM, HJ-1 and MODIS data. We obtained the virtual band X0 through these satellites' bands combined it with the 4 bands of a TM image to build a virtual satellite with five bands. Based on this, we used these data for image classification. The experimental results showed that the virtual satellite classification results of building land and water information were superior to the HJ-1 and TM data respectively.
作者部门: 中科院海岸带环境过程与生态修复重点实验室
DOI: 10.1088/1755-1315/17/1/012084
文章类型: 会议论文
收录类别: EI
语种: 英语
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.yic.ac.cn/handle/133337/8837
Appears in Collections:中科院海岸带环境过程与生态修复重点实验室_会议论文

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Recommended Citation:
Su, W.G.,Su, F.Z.,Zhou, C.H.. Virtual satellite construction and application for image classification[C]. 见:35th International Symposium on Remote Sensing of Environment, ISRSE 2013. Beijing, China. April 22, 2013 - April 26, 2013.
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