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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Veröffentlicht in:	Proceedings - International Conference on Image Processing S. 4063 - 4067
Hauptverfasser:	Caye Daudt, Rodrigo, Le Saux, Bertr, Boulch, Alexandre
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2018
Schlagworte:	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
Online-Zugang:	Volltext
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