| 遥感影像的全模糊监督分类 |
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| 引用本文： | 张景雄.遥感影像的全模糊监督分类[J].武汉大学学报(信息科学版),1998(3). |
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| 作者姓名： | 张景雄 |
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| 作者单位： | 武汉测绘科技大学测绘遥感信息工程国家重点实验室 |
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| 基金项目： | 国家测绘局测绘科技发展基金 |
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| 摘 要： | 设计了一个基于神经元网络的全模糊训练、分类和精度评估方法，并成功地应用于一个城郊型土地覆盖分类。结果表明，该方法灵活、适应性强，并能取得较好的分类精度。
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| 关 键 词： | 全模糊 遥感影像 监督分类 神经元网络 土地覆盖 |
A Fully Fuzzy Supervised Classification of Remotely Sensed Imagery |
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| Zhang Jingxiong.A Fully Fuzzy Supervised Classification of Remotely Sensed Imagery[J].Geomatics and Information Science of Wuhan University,1998(3). |
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| Authors: | Zhang Jingxiong |
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| Abstract: | This paper presents a fully fuzzy strategy for image classification based on a neural network architecture, which promises to overcome some problems encounered in a conventional crisp even fuzzy classification process. The proposed method was successfully applied in a classification of a suburban land cover with resuls confirming the flexibility and practicality of this fully fuzzy approach. |
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| Keywords: | fully fuzzy remotely sensed imagery supervised classification neural network land cover |
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