计算机自动识别分类技术在森林遥感中的应用

谈正; 杜春华

doi:10.11834/jrs.1988004

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计算机自动识别分类技术在森林遥感中的应用
AN APPLICATION OF COMPUTER RECOGNATION AND CLASSIFICATION REMOTE SENSING OF FOREST DISTRIBUTION
1988年第1期页码：21-31
纸质出版日期： 1988 ，
DOI： 10.11834/jrs.1988004

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[1]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].环境遥感,1988(01):21-31+82.

Tan Zheng Du Chunhua. AN APPLICATION OF COMPUTER RECOGNATION AND CLASSIFICATION REMOTE SENSING OF FOREST DISTRIBUTION[J]. Journal of Remote Sensing, 1988,(1):21-31.
[1]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].环境遥感,1988(01):21-31+82. DOI： 10.11834/jrs.1988004.

Tan Zheng Du Chunhua. AN APPLICATION OF COMPUTER RECOGNATION AND CLASSIFICATION REMOTE SENSING OF FOREST DISTRIBUTION[J]. Journal of Remote Sensing, 1988,(1):21-31. DOI： 10.11834/jrs.1988004.

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％。

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%.