Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study

Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study

In this study, a new method is proposed for semi-automated surface water detection using synthetic aperture radar data via a combination of radiometric thresholding and image segmentation based on the simple linear iterative clustering superpixel algorithm. Consistent intensity thresholds are select...

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Bibliographic Details
Main Authors: Amir Behnamian, Sarah Banks, Lori White, Brian Brisco, Koreen Millard, Jon Pasher, Zhaohua Chen, Jason Duffe, Laura Bourgeau-Chavez, Michael Battaglia
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Remote Sensing
Subjects:
water mapping
surface water
wetland
SAR
RADARSAT-2
histogram
threshold
segmentation
superpixel
Online Access:https://www.mdpi.com/2072-4292/9/12/1209

Internet

https://www.mdpi.com/2072-4292/9/12/1209

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