关键词: CBERS-1图像, BP神经网络, Fuzzy-ARTMAP神经网络, 土地利用分类

Abstract:

Discussed and analyzed results of different classification algorithms for land use classification in arid and semiarid areas using CBERS-1 image, Which in case of our study is Shihezi Municipality, Xinjiang Province.Three types of classifiers are included in our experiment, including the Maximum Likelihood classifier, BP neural network classifier and Fuzzy-ARTMAP neural network classifier.The classification results showed that the classification accuracy of Fuzzy-ARTMAP was the best among three classifiers, increased by 10.69 %and 6.84 % thanMaximum likelihood and BP neural network, respectively.Meanwhile, the result also confirmed the practicability of CBERS-1 image in land use survey.

Key words: CBERS-1 image, BP neural network, Fuzzy-ARTMAP neural network, land use classification