Study on Wetland Cover Information Extraction Based on ALOS Remote Sensing Image<?xml:namespace prefix = o ns = "urn:schemas-microsoft-com:office:office" /><o:p></o:p>

Study on Wetland Cover Information Extraction Based on ALOS Remote Sensing Image

详细信息

责任者：Yu Huan (School of Earth Sciences ; Chengdu University of Technology ; Chengdu 610059 ; China) ; Zhang Shuqing
刊名：Journal of Earth Sciences and Environment
出版年：2010
卷期：32(3)
关键词：遥感 ; remote sensing ; 湿地 ; wetlands ; 三江平原 ; Sanjiang Plain
页码：p.324-330
图表：7 illus., 3 tables, 17 refs.
分类号：1702
issnNo：ISSN1672-6561
isbnNo：CN61-1423/P

摘要

Based on the methods of unsupervised, supervised and object-oriented classifications, the optimum combination of characteristics was selected to provide references for the data and method selections of wetland cover classification. The results showed that the accuracy with unsupervised, supervised and object-oriented classifications reached 63.86%, 96.14% and 85.26%, respectively; the characteristics were poor by means of unsupervised classification; the accuracy with object-oriented classification was very high, but construction, wood and grass cover types were differentiated difficultly; supervised classification was very suitable for wetland cover information extraction.