The Automatic Detection of Fire Scar in Alaska using Multi-Temporal PALSAR Polarimetric SAR Data

The Automatic Detection of Fire Scar in Alaska using Multi-Temporal PALSAR Polarimetric SAR Data

The existing fire scar detection methods based on multi-temporal analysis only used the difference in either backscattering intensity or polarimetric characteristics between the pre- and post-fire PolSAR data to calculate the difference image (DI), and then applied an object-based image analysis app...

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Bibliographic Details
Main Authors: Jujie Wei, Yonghong Zhang, Hong’an Wu, Bin Cui
Format: Article
Language:English
Published: Taylor & Francis Group 2018-09-01
Series:Canadian Journal of Remote Sensing
Subjects:
forest fire
fire scar detection
polarimetric sar (polsar)
multi-temporal
the hotelling–lawley trace (hlt)
palsar
automatic image segmentation
the generalized gaussian-based kittler–illingworth (gg-ki)
markov random field (mrf)
Online Access:http://dx.doi.org/10.1080/07038992.2018.1543022

Internet

http://dx.doi.org/10.1080/07038992.2018.1543022

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