Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Surveying and Mapping of Geology and Mineral Resources》 2008-01
Add to Favorite Get Latest Update

Monitoring Research of Forest Change Based on Real Object Classification Statistical Method

WU Hang-yan1,FANG Yuan-min1,ZHANG Shu-qing2(1.Faculty of Land Resource Engineering,Kunming University of Science and Technology,Kunming Yunnan 650093,China;2.Yunnan Institute of Surveying and Mapping of Geology and Mineral Resources,Kunming Yunnan 650218,China)  
Remote sensing has being applied broadly to forest dynamic monitoring,real object classification statistical method offers the feasibility for forest cover dynamic monitoring.Based on this,this paper brings forward a kind of monitoring method of forest cover based on real object classification statistic.The method colligates image segmentation,image dynamic analytic and multi-spectrum random signal processing technique;it may differentiate the surface to arrive at the goal of forest dynamic monitoring.
【CateGory Index】: S757.2
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved