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本文就在藏北草资源调查中,应用空间实验室量测摄影机(MC)摄得的彩色红外影像,及根据遥感影像目视判读所利用的信息空间特点和草场分类原理进行计算机自动分类的理论与方法,对利用辅助数据和影像数据复合技术的几种尝试进行了讨论,并依实地调查资料和专家判读结果对各种分类结果进行了评价。说明利用这种航天遥感资料,辅以Landsat影像生物量指标、DTM和坡度、坡向数据以及计算机自动分类技术,进行资源调查是可行的,可以达到最佳效果。
In this paper, in the survey of grassland resources in northern Tibet, the color IR images obtained by Space Laboratory Cameras (MC) and the theory of computer automatic classification based on the spatial characteristics of information and grassland classification used by visual interpretation of remote sensing images And methods. Several attempts to use composite data of auxiliary data and image data were discussed. Various classification results were evaluated based on field survey data and expert interpretation results. It shows that it is feasible to use this kind of aerospace remote sensing data, combined with Landsat image biomass index, DTM and slope, aspect data and computer automatic classification technology to carry out resource survey to achieve the best results.