Multispectral and hyperspectral image processing Based on the waveform characteristics of spectral remote sensing classification method of large area
Determination of land cover spatial distribution and change scientifically and accurately have a great significance for monitoring the regional ecological environment and the impact of human activities. This paper proposed a method basing on the waveform characteristics of spectral for mapping large area using TM data simply, quickly and accurately. In the experiments, we segment the image to object and order the object value of the TM5 1~7 except the thermal infrared band and each order result given the only value. In the next, using manual methods assigned the order to get the typical surface feature such as water, soil, vegetation. Classification using spectral waveform characteristics can effectively avoid the TM image classification error, due to spectral differences by accessing time and spatial、spectrum differences on same object and spectral mixing .This method can map the large area of typical surface is simply, fast and accurate, and support on theoretical basis.
spectral character object segment order value
qingqing peng Liao Yang Jinxiang Shen
Xinjiang Institute of Ecology and Geography, Chinese Academy of Science, Urumqi 83001, China Graduat Xinjiang Institute of Ecology and Geography, Chinese Academy of Science, Urumqi 83001, China
国际会议
桂林
英文
1-6
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）