Soil Salinity Mapping Based on Support Vector Machine Classification by HJ-1 CCD

摘要：

HJ-1 satellite data has been applied successfully on environment protection and disaster reduction fields since it is launched on September, 6th, 2008. However, disaster reduction study achievement is few by using HJ-1 CCD. Datong basin is selected as study area and salinity symptoms are also characterized using field spectra collected with an ASD FieldspecPro spectrometer. Atmospheric correction is performed using 6S that converts the radiance recorded by CCD sensor to reflectance imagery, thus enabling comparisons between image spectra and field or laboratory derived spectra. Soil salinity mapping is made based on support vector machine classification. The result shows that soil salinity can be identified perfectly using HJ-1 CCD, and the classification result is according with field investigation.

关键词： Soil salinity HJ-1 CCD Support vector machine Datong basin

作者: Siquan Yang Haixia He Weitao Chen Xianju Li

作者单位: National Disaster Reduction Center of China, Satellite Disaster Reduction Application Center Beijing Key Laboratory o/Biogeology and Environmental Geology of Ministry of Education &Departmentfor Crust

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 487-490

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）