Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Geomatics & Spatial Information Technology》 2017-11
Add to Favorite Get Latest Update

An Object-oriented Method of CVA Change Detection

SHI Shan-qiu;Provincial Geomatics Center of Jiangsu;  
In this paper,a two-phase 0. 3-m resolution image is used as the object of change detection,with vector data as the minimum processing unit. The change vector analysis( CVA) method is used to predict the change pattern. In order to improve the prediction accuracy,feature extraction of the image,multi-scale spectral,texture and local invariant feature extraction. The experimental results show that the proposed method is more accurate than the image feature extraction method at the same scale.
【Fund】: 江苏省测绘科研基金项目(JSCHKY201521);; 江苏省测绘科研基金项目(JSCHKY201412)资助
【CateGory Index】: TP391.41
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