A Two-Branch CNN Architecture for Land Cover Classification of PAN and MS Imagery

A Two-Branch CNN Architecture for Land Cover Classification of PAN and MS Imagery

The use of Very High Spatial Resolution (VHSR) imagery in remote sensing applications is nowadays a current practice whenever fine-scale monitoring of the earth’s surface is concerned. VHSR Land Cover classification, in particular, is currently a well-established tool to support decisions...

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Bibliographic Details
Main Authors:	Raffaele Gaetano, Dino Ienco, Kenji Ose, Remi Cresson
Format:	Article
Language:	English
Published:	MDPI AG 2018-11-01
Series:	Remote Sensing
Subjects:	deep learning single-sensor multi-resolution data fusion image classification land cover mapping image retrieval by land cover
Online Access:	https://www.mdpi.com/2072-4292/10/11/1746

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