AN EXPLAINABLE CONVOLUTIONAL AUTOENCODER MODEL FOR UNSUPERVISED CHANGE DETECTION

AN EXPLAINABLE CONVOLUTIONAL AUTOENCODER MODEL FOR UNSUPERVISED CHANGE DETECTION

Transfer learning methods reuse a deep learning model developed for a task on another task. Such methods have been remarkably successful in a wide range of image processing applications. Following the trend, few transfer learning based methods have been proposed for unsupervised multi-temporal image...

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Bibliographic Details
Main Authors:	L. Bergamasco, S. Saha, F. Bovolo, L. Bruzzone
Format:	Article
Language:	English
Published:	Copernicus Publications 2020-08-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/1513/2020/isprs-archives-XLIII-B2-2020-1513-2020.pdf

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