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作 者:黄海波[1,2] 赵萍[1,2] 陈志英[1] 郭伟[1,2]
机构地区:[1]安徽师范大学国土资源与旅游学院,安徽芜湖241000 [2]安徽师范大学GIS重点实验室,安徽芜湖241000
出 处:《遥感技术与应用》2008年第5期525-528,I0001,共5页Remote Sensing Technology and Application
基 金:安徽省教育厅自然科学基金资助项目(KJ2007B219);安徽省教育厅教学研究项目(2007JYXM208)
摘 要:以安徽省芜湖市为试验区,首先对试验区水体和其它各类地物的光谱特征进行分析,探讨水体在ASTER遥感影像各个波段与其它地物之间的可分性,然后经过反复实验和分析,构建了基于波段阈值和谱间关系的水体提取模型:B2>B3,B1+B6<127,B3+B4<54和B3<24,最后将该方法提取结果与非监督分类、监督分类和植被指数法提取结果进行评价和比较。实验结果表明该方法可较好地提取研究区各类水体,分类精度明显优于传统提取方法,且简单实用,但在对光谱特征分析过程中样本点选取要求较高。To take Wuhu in Anhui province for example. Firstly,the author analysed the water body in Wuhu and the spectral characters of the earth's surface,then, summarized every class separability of the water information and the earth's surface in every band of ASTER Remote Sensing Image, after repeated experiments and analysis constructed the extracting model of water body which based on threshold of bands and relation of spectrum:B2〉B3,B1+B6〈127,B3+B4〈54 and B3〈24. In the end,the author compared and evaluated the conclusion of extracting model of water body with the conclusion of unsupervised classification, supervised classification and NDVI. The result of experiment indicated that this method is feasible and more simple,but higher demands were needed in the selected samples of the analysing process of spectral characters.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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