Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system
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Title
Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system
Authors
Keywords
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Journal
GIScience & Remote Sensing
Volume 55, Issue 2, Pages 243-264
Publisher
Informa UK Limited
Online
2018-01-17
DOI
10.1080/15481603.2018.1426091
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