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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