| 模糊理论在遥感图像分类中的应用 |
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| 作者姓名： | 王荣华 干嘉元 过仲阳 吴佳勤 |
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| 作者单位： | 华东师范大学,地理信息科学教育部重点实验室,上海,200062 |
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| 基金项目： | 我国近海海洋综合调查与评价专项-908项目 |
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| 摘 要： | 利用2000年假彩色遥感图像,采用模糊C-均值法中的欧氏距离和马氏距离法对崇明东滩的遥感图像进行了处理。通过对白色覆盖物、未耕种土地、一号水稻田、水体和二号水稻田的分类结果表明,欧氏距离的聚类结果优于马氏距离。
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| 关 键 词： | 遥感图像分类 模糊C-均值聚类法 欧氏距离 马氏距离 |
| 收稿时间： | 2007-07-15 |
| 修稿时间： | 2007-10-23 |
The Application of Fuzzy Theory in Remote Sensing Image Classification |
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| Authors: | WANG Ronghua GAN Jiayuan GUO Zhongyang WU Jiaqin |
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| Abstract: | Fuzzy sets theory can describe fuzziness of matters.In this project,Fuzzy classification of remote sensing image was researched.And,Euclidean distance and Mahalanobis distance are used to classify the remote sensing image of east bottomland of Chongming photographed in 2000.The result indicated that the clustering results made by Euclidean distance are much better than those made by Mahalanobis distance. |
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| Keywords: | Remote-Sensing Image Classification Fuzzy C-Means Clustering Euclidean distance Mahalanobis distance |
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