An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image

Extraction of the flooded areas from synthetic aperture radar (SAR) and especially TerraSAR-X data is one of the most challenging tasks in the flood management and planning. SAR data due to its high spatial resolution and its capability of all weather conditions makes a proper choice for tropical co...

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Main Authors: Pradhan, Biswajeet, Hagemann, Ulrike, Tehrany, Mahyat Shafapour, Prechtel, Nikolas
Format: Article
Language:English
Published: Elsevier 2014
Online Access:http://psasir.upm.edu.my/id/eprint/36397/
http://psasir.upm.edu.my/id/eprint/36397/1/An%20easy%20to%20use%20ArcMap%20based%20texture%20analysis%20program%20for%20extraction%20of%20flooded%20areas%20from%20TerraSAR.pdf
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author Pradhan, Biswajeet
Hagemann, Ulrike
Tehrany, Mahyat Shafapour
Prechtel, Nikolas
author_facet Pradhan, Biswajeet
Hagemann, Ulrike
Tehrany, Mahyat Shafapour
Prechtel, Nikolas
author_sort Pradhan, Biswajeet
building UPM Institutional Repository
collection Online Access
description Extraction of the flooded areas from synthetic aperture radar (SAR) and especially TerraSAR-X data is one of the most challenging tasks in the flood management and planning. SAR data due to its high spatial resolution and its capability of all weather conditions makes a proper choice for tropical countries. Texture is considered as an effective factor in distinguishing the classes especially in SAR imagery which records the backscatters that carry information of kind, direction, heterogeneity and relationship of the features. This paper put forward a computer program for texture analysis for high resolution radar data. Texture analysis program is introduced and discussed using the gray-level co-occurrence matrix (GLCM). To demonstrate the ability and correctness of this program, a test subset of TerraSAR-X imagery from Terengganu area, Malaysia was analyzed and pixel-based and object-based classification were attempted. The thematic maps derived by pixel-based method could not achieve acceptable visual interpretation and for that reason no accuracy assessment was performed on them. The overall accuracy achieved by object-based method was 83.63% with kappa coefficient of 0.8. Results on image texture classification showed that the proposed program is capable for texture analysis in TerraSAR-X image and the obtained textural analysis resulted in high classification accuracy. The proposed texture analysis program can be used in many applications such as land use/cover (LULC) mapping, hazard studies and many other applications.
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spelling upm-363972015-10-28T02:49:26Z http://psasir.upm.edu.my/id/eprint/36397/ An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image Pradhan, Biswajeet Hagemann, Ulrike Tehrany, Mahyat Shafapour Prechtel, Nikolas Extraction of the flooded areas from synthetic aperture radar (SAR) and especially TerraSAR-X data is one of the most challenging tasks in the flood management and planning. SAR data due to its high spatial resolution and its capability of all weather conditions makes a proper choice for tropical countries. Texture is considered as an effective factor in distinguishing the classes especially in SAR imagery which records the backscatters that carry information of kind, direction, heterogeneity and relationship of the features. This paper put forward a computer program for texture analysis for high resolution radar data. Texture analysis program is introduced and discussed using the gray-level co-occurrence matrix (GLCM). To demonstrate the ability and correctness of this program, a test subset of TerraSAR-X imagery from Terengganu area, Malaysia was analyzed and pixel-based and object-based classification were attempted. The thematic maps derived by pixel-based method could not achieve acceptable visual interpretation and for that reason no accuracy assessment was performed on them. The overall accuracy achieved by object-based method was 83.63% with kappa coefficient of 0.8. Results on image texture classification showed that the proposed program is capable for texture analysis in TerraSAR-X image and the obtained textural analysis resulted in high classification accuracy. The proposed texture analysis program can be used in many applications such as land use/cover (LULC) mapping, hazard studies and many other applications. Elsevier 2014-02 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/36397/1/An%20easy%20to%20use%20ArcMap%20based%20texture%20analysis%20program%20for%20extraction%20of%20flooded%20areas%20from%20TerraSAR.pdf Pradhan, Biswajeet and Hagemann, Ulrike and Tehrany, Mahyat Shafapour and Prechtel, Nikolas (2014) An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image. Computers & Geosciences, 63. pp. 34-43. ISSN 0098-3004; ESSN: 1873-7803 10.1016/j.cageo.2013.10.011
spellingShingle Pradhan, Biswajeet
Hagemann, Ulrike
Tehrany, Mahyat Shafapour
Prechtel, Nikolas
An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image
title An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image
title_full An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image
title_fullStr An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image
title_full_unstemmed An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image
title_short An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image
title_sort easy to use arcmap based texture analysis program for extraction of flooded areas from terrasar-x satellite image
url http://psasir.upm.edu.my/id/eprint/36397/
http://psasir.upm.edu.my/id/eprint/36397/
http://psasir.upm.edu.my/id/eprint/36397/1/An%20easy%20to%20use%20ArcMap%20based%20texture%20analysis%20program%20for%20extraction%20of%20flooded%20areas%20from%20TerraSAR.pdf