AN APPLICATION OF COMPUTER RECOGNATION AND CLASSIFICATION REMOTE SENSING OF FOREST DISTRIBUTION
计算机自动识别分类技术在森林遥感中的应用

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%.