High-Resolution SAR Image Classification via Deep Convolutional Autoencoders.

IEEE Geoscience and Remote Sensing Letters(2015)

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摘要
Synthetic aperture radar (SAR) image classification is a hot topic in the interpretation of SAR images. However, the absence of effective feature representation and the presence of speckle noise in SAR images make classification difficult to handle. In order to overcome these problems, a deep convolutional autoencoder (DCAE) is proposed to extract features and conduct classification automatically....
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关键词
Feature extraction,Synthetic aperture radar,Noise,Accuracy,Speckle,Training,Transforms
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