date: 2014-07-02T11:40:43Z
pdf:PDFVersion: 1.6
pdf:docinfo:title: A Hierarchical Spatio-Temporal Markov Model for Improved Flood Mapping Using Multi-Temporal X-Band SAR Data
xmp:CreatorTool: Microsoft® Office Word 2007
dc:description: 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
Keywords: 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;
access_permission:modify_annotations: true
access_permission:can_print_degraded: true
subject: 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
dc:creator: André Twele
description: 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
dcterms:created: 2010-09-17T06:15:49Z
Last-Modified: 2014-07-02T11:40:43Z
dcterms:modified: 2014-07-02T11:40:43Z
dc:format: application/pdf; version=1.6
title: A Hierarchical Spatio-Temporal Markov Model for Improved Flood Mapping Using Multi-Temporal X-Band SAR Data
xmpMM:DocumentID: uuid:d913d187-157b-4810-b2b4-5c3fbc7cc437
Last-Save-Date: 2014-07-02T11:40:43Z
pdf:docinfo:creator_tool: Microsoft® Office Word 2007
access_permission:fill_in_form: true
pdf:docinfo:keywords: 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;
pdf:docinfo:modified: 2014-07-02T11:40:43Z
meta:save-date: 2014-07-02T11:40:43Z
pdf:encrypted: false
dc:title: A Hierarchical Spatio-Temporal Markov Model for Improved Flood Mapping Using Multi-Temporal X-Band SAR Data
modified: 2014-07-02T11:40:43Z
cp:subject: 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
pdf:docinfo:subject: 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
Content-Type: application/pdf
pdf:docinfo:creator: Sandro Martinis *
X-Parsed-By: org.apache.tika.parser.DefaultParser
creator: André Twele
meta:author: André Twele
dc:subject: 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;
meta:creation-date: 2010-09-17T06:15:49Z
created: Fri Sep 17 08:15:49 CEST 2010
access_permission:extract_for_accessibility: true
access_permission:assemble_document: true
xmpTPg:NPages: 19
Creation-Date: 2010-09-17T06:15:49Z
access_permission:extract_content: true
access_permission:can_print: true
meta:keyword: 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;
Author: André Twele
producer: Microsoft® Office Word 2007
access_permission:can_modify: true
pdf:docinfo:producer: Microsoft® Office Word 2007
pdf:docinfo:created: 2010-09-17T06:15:49Z