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

No abstract is available for this paper.

• Publication year

  2018

• Venue

  GIScience & Remote Sensing

• Publication date

  2018-01-19

• Fields of study

  Computer Science, Environmental Science

• Identifiers
  DOI 10.1080/15481603.2018.1426091
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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