Fully Convolutional Siamese Networks for Change Detection

This paper presents three fully convolutional neural network architectures which perform change detection using a pair of coregistered images. Most notably, we propose two Siamese extensions of fully convolutional networks which use heuristics about the current problem to achieve the best results in...

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Vydané v:	Proceedings - International Conference on Image Processing s. 4063 - 4067
Hlavní autori:	Caye Daudt, Rodrigo, Le Saux, Bertr, Boulch, Alexandre
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2018
Predmet:	Cats Change detection Change detection algorithms Computer architecture Earth Earth observation fully convolutional networks Image analysis Machine learning supervised machine learning Training
ISSN:	2381-8549
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