Virtual satellite construction and application for image classification

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室

	Virtual satellite construction and application for image classification
	Su, W.G.(1,2,3); Su, F.Z.(2); Zhou, C.H.(2)
	2014
会议名称	35th International Symposium on Remote Sensing of Environment, ISRSE 2013
会议日期	April 22, 2013 - April 26, 2013
会议地点	Beijing, China
卷号	17
通讯作者	Su, F.Z. (sufz@lreis.ac.cn)
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.
收录类别	EI
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
会议主办者	LDE; LIESMARS; NRSCC; REIS
会议录	35th International Symposium on Remote Sensing of Environment, ISRSE 2013
会议录出版者	Institute of Physics Publishing
语种	英语
ISSN号	1755-1307
内容类型	会议论文
源URL	[http://ir.yic.ac.cn/handle/133337/8837]
专题	烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
推荐引用方式 GB/T 7714	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.