Deep Learning and Superpixel Feature Extraction Based on Contractive Autoencoder for Change Detection in SAR Images
Image segmentation based on superpixel is used in urban and land cover change detection for fast locating region of interest. However, the segmentation algorithms often degrade due to speckle noise in synthetic aperture radar images. In this paper, a feature learning method using a stacked contracti...
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Veröffentlicht in: | IEEE transactions on industrial informatics 2018-12, Vol.14 (12), p.5530-5538 |
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