Wetland information extraction based on remote sensing technology

摘要：

The wetland classification of medium-resolution remote sensing images is a difficult problem because the mixed pixel phenomenon is serious. In this study, visual interpretation was used to extract water. Then the traditional and improved linear spectral mixture analysis models were selected to extract other wetland types. Although errors and confusion exist, this method shows satisfying results with an overall accuracy of 86.2% and a KAPPA coefficient of 0.79. The method in this paper can achieve a more precise information extraction of the wetland and could provide a reference of wetland extraction for other regions.

作者: WU Jian PENG Dao-li

作者单位: The Key Laboratory for Silviculture and Conservation of Ministry of Education Beijing Forestry University Beijing, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）