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本文是水稻遥感估产技术经济前期研究的主要内容之一,其目的是研究从TM资料中提取稻田信息的可行性,为水稻遥感估产提供提取稻田信息的遥感技术.试验先选用动态聚类、最大似然法和逐步分类法进行稻田信息提取.再经波段比值法和地形因子分层分类的后处理,在特定的试验区内,其面积精度可达到99％以上.
The purpose of this paper is to study the feasibility of extracting paddy field information from TM data and to provide remote sensing technology for paddy rice remote sensing yield estimation.Using dynamic clustering, the maximum Likelihood method and stepwise classification method to extract rice field information.After the band ratio method and the terrain factor classification, the area accuracy can reach more than 99% in the specific experimental area.