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运用TM资料提取稻田信息的研究初报
引用本文:蒋亨显,王人潮,陈铭臻,王深法.运用TM资料提取稻田信息的研究初报[J].浙江大学学报(农业与生命科学版),1992(4).
作者姓名:蒋亨显  王人潮  陈铭臻  王深法
作者单位:浙江农业大学农业遥感技术应用研究室,浙江农业大学农业遥感技术应用研究室,浙江农业大学农业遥感技术应用研究室,浙江农业大学农业遥感技术应用研究室 杭州 310029,杭州 310029,杭州 310029,杭州 310029
摘    要: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.

关 键 词:提取稻田信息  动态聚类  最大似然分类  逐步分类  后处理  TM资料

Study on drawing the rice-field information using TM data.
Jiang Hengxian, Wang Renchao, Chen Mingzhen and Wang Shengfa.Study on drawing the rice-field information using TM data.[J].Journal of Zhejiang University(Agriculture & Life Sciences),1992(4).
Authors:Jiang Hengxian  Wang Renchao  Chen Mingzhen and Wang Shengfa
Abstract:This paper attempted to give an appraisal using TM data from remote sensing technique for detecting rice-field information. The experiment was done in the test area of remote sensing of our university, which posessed the main feature of rice-area in southern China. At first, two methods (the dynamatic cluster and likelihood classifier) were used to draw the information of rice-field. Their area accuracies led to 89. 3% and 98. 49%. To counter the shortages of the two methods and the characteristics of drawing thematic information of rice-field, a new system, step-by-step classifier, was designed. Its result indicated that the area accuracy was 98. 5%. Two reclassifiers were also developed to improve the result of step-by-step classification. They were ratio of two bands and stratified classifier. Their area accuracies were 99. 5% and 99. 4% , respectively. These results seemed to he that this system was effective for detecting rice-field information from TM data. It also provesthat TM is useful for detecting rice-field information.
Keywords:drawing the rice-field information  dynamatic cluster  likelihood classifier  step-by-step classifier  reclassifier  TM data  
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