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本文以廊坊地区为研究区,首先对该地区同时期的中巴、SOPT和TM影像分别进行监督分类,将影像分类结果进行比较,得到中巴影像分类的相对精度;其次随机抽取中巴影像分类后图斑总... 本文以廊坊地区为研究区,首先对该地区同时期的中巴、SOPT和TM影像分别进行监督分类,将影像分类结果进行比较,得到中巴影像分类的相对精度;其次随机抽取中巴影像分类后图斑总数的5%,将其与该地区1:1万属性数据库在arcgis中进行叠加比较,进而对抽取出的各图斑中类别进行面积对比,在一定程度评价了中巴影像的分类精度。最后,进一步利用决策树分类及面向对象分类的方法对中巴影像进行分类,再一步从多个角度进行精度评价。从研究结果表明,同地区同时期的中巴影像分类图的精度要比其他两种影像低;但是经过后面的面积对比,也可以较精确的看出中巴影像分出的沙地、城市及小麦的精度都比较高,主要就是村庄和有些耕地光谱特征相似难以区分。 展开
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百度网友dfbe7fbd5
2006-01-12
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This article take the Langfang area as the research area, first to this local same time China and Pakistan, SOPT and the TM phantom carries on the surveillance to classify separately, carries on the phantom classification result the comparison, obtains the Chinese and Pakistani phantom classification the relative accuracy; After next stochastically extracts the Chinese and Pakistani phantom classification the chart spot total 5%, its and this area 1: 10,000 attribute database carries on the superimposition comparison in arcgis, then exchanges drives in various charts spot which takes out the category to carry on the area contrast, has appraised the Chinese and Pakistani phantom classified precision in the certain degree. Finally, further carries on the classification using the policy-making tree classification and the object-oriented classified method to the Chinese and Pakistani phantom, again step carries on the precision appraisal from many angles. Indicated from the findings that, must be lower than with the local same time Chinese and Pakistani phantom classification chart precision other two kind of phantoms; Behind but passes through the area contrast, also may precise the sand, the city and wheat's precision which sees the Chinese and Pakistani phantom to branch out quite is all high, mainly is the village and some farming spectrum characteristic similar differentiates with difficulty.

PS:有可能不对..我是用THE WORLD里的网页翻译做的
巧克力啤酒
2006-01-15 · TA获得超过406个赞
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This text takes the region in the gallery shop as to study the area, carrying on the direct classification to the medium 巴 , SOPT and image of TMs of the corresponding period in that region respectively first, categorizing image the result carry on the comparison, getting opposite accuracy that win the 巴 image's classification;Sample the next in order and random medium the 巴 image classification is behind 5% that the diagram spot total amount, will it with that region 1:10,000 belong to sex database to carry on fold to add the comparison in the arcgis, then to each diagram spot sample the category carries on the area contrast, in certain degree evaluating the classification accuracy of the image of 巴 .End, further make use of the decision tree classification and face to the method of the object classification to carry on the classification to the medium image of 巴 , the one more treads to carry on the accuracy evaluation from several angles.Express from the research result, together region corresponding period of medium the image of 巴 categorize the accuracy of the diagram and want to be lower than two images;But the process area contrast of behind, can also compare the see of precision to divide the sand ground, city of and the accuracy of the wheats in the image of 巴 all higher, is mainly alike and hard distinction of village and some farmlands spectrum characteristics.
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匿名用户
2006-01-12
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I am so sorry that I couldn't help you !
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