广义LVQ算法及其在遥感影像分类中的应用研究
The Remote Sensing Image Classification Based on Generalized Learning Vector Quantization Algorithm
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摘要: 在比较了学习矢量量化 (LVQ)算法和广义学习矢量量化(GLVQ)算法的基础上，建立了基于GLVQ的遥感影像分类模型。以实际土地覆盖分类为例，通过与传统统计方法和LVQ分类器比较，GLVQ分类器具有分类正确率高，收敛速度快，适应范围广等优点。Abstract: After comparing Learning Vector Quantization (LVQ) algorithm and Generalized Learning Vector Quantization (GLVQ) algorithm, this paper establishes a GLVQ-based classification model for remote sensing image. With the experimental applications of land-over classification with the presented model, the GLVQ classifier has higher recognition rate, faster convergence speed and wider adaption range than conventional classifier and LVQ classifier.
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阎平凡，张长水编著. 人工神经网络与模拟进化计算[M]. 北京：清华大学出版社，2000：1-5.[2]Kohonen T. The self-organizing map[J].Pro. IEEE.1990, 78(9):1464-1480[3]Chung F L, Lee T. Fuzzy competitive learning[J].Neural Networks.1994, 7(3):539-551[4]Pal N R, et al.. Generalized clustering networks and Kohonens self-organizing schemes[J].IEEE Trans. on Neural Networks.1993, 4(4):549-557 -
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