干旱区生态环境知识资源中心(Arid): Artificial neural network classification of Karst rocky desertification degree using SPOT satellite imagery and DEM data

Arid

DOI	10.1117/12.901954
	Artificial neural network classification of Karst rocky desertification degree using SPOT satellite imagery and DEM data
	Lin Meng; Hu Baoqing; Wu Lianglin
通讯作者	Lin Meng
会议名称	7th Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
会议日期	NOV 04-06, 2011
会议地点	Guilin, PEOPLES R CHINA
英文摘要	Karst rocky desertification is a significant environmental and ecological problem in Southwest China. In this paper, the spectral information, spatial context and topography information were utilized to synthetically discriminate the Karst rocky desertification degree, which are derived from The SPOT satellite imagery and DEM. By the back-propagation neural network, we proposed the classification model structure and classified the rocky desertification levels in Du'an County of Guangxi province, China. The results verified the classification model of Karst rocky desertification degree is efficient and accurate.
英文关键词	Karst rocky desertification rocky desertification classification neural network remote sensing spectral information spatial context topography information
来源出版物	MIPPR 2011: REMOTE SENSING IMAGE PROCESSING, GEOGRAPHIC INFORMATION SYSTEMS, AND OTHER APPLICATIONS
ISSN	0277-786X
出版年	2011
卷号	8006
EISBN	978-0-81948-580-9
出版者	SPIE-INT SOC OPTICAL ENGINEERING
类型	Proceedings Paper
语种	英语
国家	Peoples R China
收录类别	CPCI-S
WOS记录号	WOS:000298378100033
WOS类目	Remote Sensing ; Optics ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Optics ; Imaging Science & Photographic Technology
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/299620
作者单位	Guangxi Teachers Educ Univ, Fac Resource & Environm Sci, Nanning 530001, Peoples R China
推荐引用方式 GB/T 7714	Lin Meng,Hu Baoqing,Wu Lianglin. Artificial neural network classification of Karst rocky desertification degree using SPOT satellite imagery and DEM data[C]:SPIE-INT SOC OPTICAL ENGINEERING,2011.