Wetland Classification Using Evidential Reasoning Approach with Multi-Temporal Landsat ETM+Imagery
详细信息
- 责任者：Li Huapeng (Northeast Institute of Geography and Agroecology ; Chinese Academy of Sciences ; Changchun 130012 ; China) ; Zhang Shuqing
- 刊名：Journal of Jilin University
- 出版年：2011
- 卷期：41(4)
- 关键词：遥感 ; remote sensing ; 湿地 ; wetlands
- 页码：p.1246-1252
- 图表：2 illus., 4 tables, 28 refs.
- 分类号：1600
- 出版序号：931
- issnNo：ISSN1671-5888
- isbnNo：CN22-1343/P
摘要
The Zhalong National Nature Reserve (NNR) that located in Heilongjiang Province was selected as a study area,five temporal ETM+imagery covering the study area were used as material for wetland mapping.An evidential reasoning (ER) approach that built on Dempster-Shafer theory was introduced to combine the five images.The authors used a new algorithm named minimum distance to generate evidence support from ETM+image.The results indicated that ER was an effective approach to integrate multi-temporal imagery for wetland mapping.Compared to classification results of single image based maximum likelihood classifier (MLC),the improvement of overall accuracy by ER approach was apparent (2%~ 12%).
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