Feature learning and change feature classification based on deep learning for ternary change detection in SAR images
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DOI: 10.1016/j.isprsjprs.2017.05.001
Abstract: Abstract Ternary change detection aims to detect changes and group the changes into positive change and negative change. It is of great significance in the joint interpretation of spatial-temporal synthetic aperture radar images. In this… read more here.
Keywords: feature; change; sparse autoencoder; ternary change ... See more keywords