Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks

Information about the location and extent of informal settlements is necessary to guide decision making and resource allocation for their upgrading. Very high resolution (VHR) satellite images can provide this useful information, however, different urban settlement types are hard to be automatically...

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Auteurs principaux:	Nicholus Mboga, Claudio Persello, John Ray Bergado, Alfred Stein
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2017-10-01
Collection:	Remote Sensing
Sujets:	image classification informal settlements convolutional neural networks deep learning very high resolution satellite imagery
Accès en ligne:	https://www.mdpi.com/2072-4292/9/11/1106
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