Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing(2019)
摘要
Hyperspectral image (HSI) classification is a core task in the remote sensing community, and recently, deep learning-based methods have shown their capability of accurate classification of HSIs. Among the deep learning-based methods, deep convolutional neural networks (CNNs) have been widely used for the HSI classification. In order to obtain a good classification performance, substantial efforts ...
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关键词
Feature extraction,Deep learning,Hyperspectral imaging,Convolution,Training
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