A Machine Learning Approach to Waterbody Segmentation in Thermal Infrared Imagery in Support of Tactical Wildfire Mapping

A Machine Learning Approach to Waterbody Segmentation in Thermal Infrared Imagery in Support of Tactical Wildfire Mapping

Wildfire research is working toward near real-time tactical wildfire mapping through the application of computer vision techniques to airborne thermal infrared (IR) imagery. One issue hindering automation is the potential for waterbodies to be marked as areas of combustion due to their relative warm...

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Bibliographic Details
Main Authors: Jacqueline A. Oliver, Frédérique C. Pivot, Qing Tan, Alan S. Cantin, Martin J. Wooster, Joshua M. Johnston
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Remote Sensing
Subjects:
waterbody segmentation
wildland fire
thermal infrared
random forest
Online Access:https://www.mdpi.com/2072-4292/14/9/2262

Internet

https://www.mdpi.com/2072-4292/14/9/2262

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