A Hierarchical Spatio-Temporal Markov Model for Improved Flood Mapping Using Multi-Temporal X-Band SAR Data

A Hierarchical Spatio-Temporal Markov Model for Improved Flood Mapping Using Multi-Temporal X-Band SAR Data

In this contribution, a hybrid multi-contextual Markov model for unsupervised near real-time flood detection in multi-temporal X-band synthetic aperture radar (SAR) data is presented. It incorporates scale-dependent, as well as spatio-temporal contextual information, into the classification scheme,...

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Bibliographic Details
Main Authors: André Twele, Sandro Martinis
Format: Article
Language:English
Published: MDPI AG 2010-09-01
Series:Remote Sensing
Subjects:
Markov random fields (MRFs)
hierarchical marginal posterior mode (HMPM) estimation
irregular graph
spatio-temporal context
TerraSAR-X
automatic thresholding
generalized Gaussian distribution
change detection
flood mapping
flood possibility mask
Namibia
Online Access:http://www.mdpi.com/2072-4292/2/9/2240/

Internet

http://www.mdpi.com/2072-4292/2/9/2240/

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