Unsupervised Extraction of Flood-Induced Backscatter Changes in SAR Data Using Markov Image Modeling on Irregular Graphs

The near real-time provision of precise information about flood dynamics from synthetic aperture radar (SAR) data is an essential task in disaster management. A novel tile-based parametric thresholding approach under the generalized Gaussian assumption is applied on normalized change index data to a...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2011-01, Vol.49 (1), p.251-263
Hauptverfasser:	Martinis, S, Twele, A, Voigt, S
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied geophysics Automatic thresholding Backscatter Change detection Data mining Earth sciences Earth, ocean, space Exact sciences and technology flood mapping Floods generalized Gaussian distribution Graphs hierarchical maximum a posteriori (HMAP) marginal estimation Internal geophysics irregular graph Iterative methods Labeling Large-scale systems Magnetorheological fluids Marking Markov models Markov processes Markov random field (MRF) Markov random fields Radar detection Remote sensing Studies Synthetic aperture radar
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