基于自适应遗传算法和改进BP算法的遥感影像分类
Classification of Remote Sensing Image Based on Adaptive GA and Improved BP Algorithm
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摘要: 介绍了采用自适应遗传算法和改进BP算法相结合的混合算法来训练BP网络的方法,即先用自适应遗传算法进行全局训练,再用改进BP算法进行精确训练,以达到加快网络收敛速度和避免陷入局部极小值的目的。结果表明,该算法收敛速度快,分类精度较高。Abstract: An image classification method is presented,which trains the BP neural network (BPNN) by combing adaptive GA and improved BP algorithm.The experiment uses adaptive GA training the BPNN to get an approximate optimal solution in the whole area,and then use improved BP algorithm to modify the solution to a better one.The result shows that it is superior to improved BP algorithm in the convergence speed and classification accuracy.
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