廣義LVQ算法及其在遙感影像分類中的應(yīng)用研究
The Remote Sensing Image Classification Based on Generalized Learning Vector Quantization Algorithm
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摘要: 在比較了學(xué)習(xí)矢量量化 (LVQ)算法和廣義學(xué)習(xí)矢量量化(GLVQ)算法的基礎(chǔ)上，建立了基于GLVQ的遙感影像分類模型。以實際土地覆蓋分類為例，通過與傳統(tǒng)統(tǒng)計方法和LVQ分類器比較，GLVQ分類器具有分類正確率高，收斂速度快，適應(yīng)范圍廣等優(yōu)點。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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