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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

Research article (GIScience & Remote Sensing, 2018) · cited 265× · AI/ML
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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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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 is a scholarly article[1].

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  • 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's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparing-fully-convolutional-networks-random-forest-support-vector-machine-and-patch-based-deep-convolutional-neural-ne
MLA “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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparing-fully-convolutional-networks-random-forest-support-vector-machine-and-patch-based-deep-convolutional-neural-ne.
BibTeX @misc{4ortxyz_comparing-fully-convolutional-networks-random-forest-support-vector-machine-and-patch-based-deep-convolutional-neural-ne_2026, author = {{4ort.xyz Knowledge Graph}}, 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}}, year = {2026}, url = {https://4ort.xyz/entity/comparing-fully-convolutional-networks-random-forest-support-vector-machine-and-patch-based-deep-convolutional-neural-ne}, note = {Accessed: 2026-05-24}}
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