| 计算机自动识别分类技术在森林遥感中的应用 |
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| 引用本文： | 谈正,杜春华.计算机自动识别分类技术在森林遥感中的应用[J].遥感学报,1988(1). |
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| 作者姓名： | 谈正 杜春华 |
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| 作者单位： | 西安交通大学图像研究室
(谈正)，西安交通大学图像研究室(杜春华) |
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| 摘 要： | 本文叙述应用计算机自动识别分类技术在航天遥感图像中对森林资源进行分类的一些探索研究。本文介绍了采用自编程序“地理坐标系和图像坐标系的精密仿射变换”、“识别型增强技术”、“多光谱信息的特征提取”、“多光谱模糊算法聚类分析”等一系列算法后所取得的分类图像结果,与实地及目视解译相比较,森林分类相对精度达90％。
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| 关 键 词： | 识别 分类 聚类 特征提取 最大似然率 监督分类 模糊算法 增强处理 目视解译 光谱反射值 像元分辨力 自然植被 地面控制点 郁闭度 林分比例 仿射变换 隶属度 |
AN APPLICATION OF COMPUTER RECOGNATION AND CLASSIFICATION REMOTE SENSING OF FOREST DISTRIBUTION |
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| Tan Zheng Du Chunhua.AN APPLICATION OF COMPUTER RECOGNATION AND CLASSIFICATION REMOTE SENSING OF FOREST DISTRIBUTION[J].Journal of Remote Sensing,1988(1). |
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| Authors: | Tan Zheng Du Chunhua |
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| Abstract: | An approach to the computerized recognation and classification of different types of forest and it's distribution from satellite image data is described. Some algorithms, such as "THE RECOGNIZING ENHANCEMENT TECHNIQUE", "THE SUPERVISION OF CLASSIFICATION BY A MULTISPECTRUMS FUZZY ALGORITHM", will be discussed in detail. The result of the classification will be shown in the form of photographs for the region under test, ist area is about 165,000 ha. Compared with the results of other methods, such as a visual interpretation of images or on sight feild classification of the tree types, our classification achieved a relative statistical accuracy of approximately about 86-90%. |
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| Keywords: | recognition: classification cluster feature extration max like-lihood supervise classify fuzzy algorithm enhancemente processing visual interpretation spectral responsed value pixel resulation nature vegetation C C P tree canopy |
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