|Table of Contents|

Study on Wetland Cover Information Extraction Based on ALOS Remote Sensing Image(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2010年第03期
Page:
324-330
Research Field:
地球信息科学
Publishing date:

Info

Title:
Study on Wetland Cover Information Extraction Based on ALOS Remote Sensing Image
Author(s):
YU Huan1;  ZHANG Shu-qing2;  ZHAO Jun3;  WANG Xiu-feng4
(1.School of Earth Sciences, Chengdu University of Technology, Chengdu 610059, Sichuan, China; 2.Northeast Instituteof Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, Jilin, China; 3.Center of AgriculturalTechnology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081,Heilongjiang, China; 4.Faculty of Agriculture, Hokkaido University, Sapporo 060-8589, Hokkaido, Japan)
Keywords:
ALOS remote sensing image;  wetland;  cover;  information extraction;  Sanjiang Plain;  Heilongjiang Province
PACS:
TP75;P237
DOI:
-
Abstract:
In order to verify the feasibility of wetland cover information extraction for ALOS remote sensing image, classic inland freshwater wetland in Sanjiang Plain was taken as an example, spectral and textural characteristics of the image were analyzed, and classification characteristics of different cover types were discussed. 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; 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.

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Last Update: 2010-09-20