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利用遥感技术对区域性土地利用 /土地覆盖类型进行动态监测 ,定量提取变化信息目前是资源环境科学重要研究领域之一 ,但是已有的变化信息提取方法存在种种缺陷。基于这些问题 ,选择策勒绿洲为重点研究靶区 ,利用两个时相同一季相的 TM和 XI- SPOT图像数据 ,先对两个图像分别进行了图像预处理 ,选取控制点精确配准 ,然后采用主成份分析和光谱特征变异相结合的方法来提取 1 990— 1 998年间的土地利用 /土地覆盖变化信息。与以往方法相比 ,该方法不仅可以直接获得土地利用 /土地覆盖变化信息的类型与数量 ,实现过程简单、清楚 ,可操作性强 ;亦可有效避免以往方法中存在较多的一些问题。
Remote sensing technology is used to monitor the regional land use / land cover types dynamically, and to quantitatively extract the change information is one of the important research fields in resource and environmental science at present. However, the existing methods for extracting change information have some shortcomings. Based on these problems, the Cele Oasis is selected as the target of study. Using two TM images and XI-SPOT images of the same season, the two images are preprocessed respectively and the control points are selected for accurate registration. Then, The method of principal component analysis and spectral feature variation was used to extract the information of land use / land cover change from 1990 to 1998. Compared with the previous methods, this method can not only directly obtain the type and quantity of information on the change of land use / land cover, but also can effectively and easily avoid the problems existing in the previous methods.