五大连池新期火山区自然景观分类

应用SPOT4多光谱遥感数据,对五大连池老黑山与火烧山新期火山熔岩区及其周边进行了分类.利用envi图像处理软件对图像进行了粗校正、决策树I、SODATA分类,形成研究区的地貌类型分类图.其中对水体和渣状熔岩的区分进行了着重研究,由于所获得的SPOT4数据的4个波段,光谱均方差太大,导致所选的样本数据的光谱范围出现较大重合,论文中采取了样本优化,得到比较满意的结果.SPOT4数据易获得,分辨率较TM数据高,在地貌分类中有一定应用前景.

The Natural Landscape Classification of the New Period of Wudalianchi Volcano Area

In this paper, volcanic lava and the surrounding area of Laohei Shan and Huoshao Shan in Wudalianchi were classified base on SPOT4 multi-spectral remote sensing data. Using Envion a rough image correction and Decision tree, ISODATA classification. Then forming the Classification Map of Research areas, the water and a＇a was focused on the distinction between research. As the SPOT4 data obtained by the 4-band, the spectrum are too great variance which Lead to the selected sample data to a larger spectral range of coincidence, so papers in samples taken Optimization got relatively satisfied results. SPOT4 easy access to data and high-resolution data than TM, it＇s useful in the classification of the landscape.