ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data

Published 2020 View Full Article

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Title
ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data
Authors
Keywords
Convolutional neural network, Loss function, Architecture, Data augmentation, Very high spatial resolution
Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 162, Issue -, Pages 94-114
Publisher
Elsevier BV
Online
2020-02-21
DOI
10.1016/j.isprsjprs.2020.01.013

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