Virtual satellite construction and application for image classification
Su, W.G.(1,2,3); Su, F.Z.(2); Zhou, C.H.(2); Su, F.Z. (sufz@lreis.ac.cn)
会议主办者LDE; LIESMARS; NRSCC; REIS
2014
会议名称35th International Symposium on Remote Sensing of Environment, ISRSE 2013
会议录名称35th International Symposium on Remote Sensing of Environment, ISRSE 2013
卷号17
会议日期April 22, 2013 - April 26, 2013
会议地点Beijing, China
ISSN号1755-1307
出版者Institute of Physics Publishing
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
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
文章类型会议论文
DOI10.1088/1755-1315/17/1/012084
收录类别EI
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.yic.ac.cn/handle/133337/8837
专题中科院海岸带环境过程与生态修复重点实验室
通讯作者Su, F.Z. (sufz@lreis.ac.cn)
推荐引用方式
GB/T 7714
Su, W.G.,Su, F.Z.,Zhou, C.H.,et al. Virtual satellite construction and application for image classification[C]:Institute of Physics Publishing,2014.
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