Deep convolutional neural network training enrichment using multi-view object-based analysis of Unmanned Aerial systems imagery for wetlands classification

Title
Deep convolutional neural network training enrichment using multi-view object-based analysis of Unmanned Aerial systems imagery for wetlands classification
Authors
Keywords
Deep learning, Convolutional neural network, Object-based classification, Random forest, Support vector machine, small UAS, OBIA
Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 139, Issue -, Pages 154-170
Publisher
Elsevier BV
Online
2018-03-19
DOI
10.1016/j.isprsjprs.2018.03.006

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