APPLICABILITY OF MULTI-SEASONAL X-BAND SAR IMAGERY FOR MULTIRESOLUTION SEGMENTATION: A CASE STUDY IN A RIPARIAN MIXED FOREST

The increasing availability of synthetic aperture radar (SAR) data from a range of different sensors necessitates efficient methods for semi-automated information extraction at multiple spatial scales for different fields of application. The focus of the presented study is two-fold: 1) to evaluate t...

Full description

Bibliographic Details
Main Authors: Z. Dabiri, D. Hölbling, S. Lang, A. Bartsch
Format: Article
Language:English
Published: Copernicus Publications 2015-12-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/123/2015/isprsarchives-XL-1-W5-123-2015.pdf
_version_ 1818108680371961856
author Z. Dabiri
D. Hölbling
S. Lang
A. Bartsch
author_facet Z. Dabiri
D. Hölbling
S. Lang
A. Bartsch
author_sort Z. Dabiri
collection DOAJ
description The increasing availability of synthetic aperture radar (SAR) data from a range of different sensors necessitates efficient methods for semi-automated information extraction at multiple spatial scales for different fields of application. The focus of the presented study is two-fold: 1) to evaluate the applicability of multi-temporal TerraSAR-X imagery for multiresolution segmentation, and 2) to identify suitable Scale Parameters through different weighing of different homogeneity criteria, mainly colour variance. Multiresolution segmentation was used for segmentation of multi-temporal TerraSAR-X imagery, and the ESP (Estimation of Scale Parameter) tool was used to identify suitable Scale Parameters for image segmentation. The validation of the segmentation results was performed using very high resolution WorldView-2 imagery and a reference map, which was created by an ecological expert. The results of multiresolution segmentation revealed that in the context of object-based image analysis the TerraSAR-X images are applicable for generating optimal image objects. Furthermore, ESP tool can be used as an indicator for estimation of Scale Parameter for multiresolution segmentation of TerraSAR-X imagery. Additionally, for more reliable results, this study suggests that the homogeneity criterion of colour, in a variance based segmentation algorithm, needs to be set to high values. Setting the shape/colour criteria to 0.005/0.995 or 0.00/1 led to the best results and to the creation of adequate image objects.
first_indexed 2024-12-11T02:19:12Z
format Article
id doaj.art-e4f2c32d43da4880b80127af78826f3c
institution Directory Open Access Journal
issn 1682-1750
2194-9034
language English
last_indexed 2024-12-11T02:19:12Z
publishDate 2015-12-01
publisher Copernicus Publications
record_format Article
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
spelling doaj.art-e4f2c32d43da4880b80127af78826f3c2022-12-22T01:24:07ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342015-12-01XL-1-W512312810.5194/isprsarchives-XL-1-W5-123-2015APPLICABILITY OF MULTI-SEASONAL X-BAND SAR IMAGERY FOR MULTIRESOLUTION SEGMENTATION: A CASE STUDY IN A RIPARIAN MIXED FORESTZ. Dabiri0D. Hölbling1S. Lang2A. Bartsch3Interfaculty Department of Geoinformatics – Z_GIS, University of Salzburg, 5020 Salzburg, AustriaInterfaculty Department of Geoinformatics – Z_GIS, University of Salzburg, 5020 Salzburg, AustriaInterfaculty Department of Geoinformatics – Z_GIS, University of Salzburg, 5020 Salzburg, AustriaZentralanstalt für Meteorologie und Geodynamik, Hohe Warte 38, 1190 Vienna, AustriaThe increasing availability of synthetic aperture radar (SAR) data from a range of different sensors necessitates efficient methods for semi-automated information extraction at multiple spatial scales for different fields of application. The focus of the presented study is two-fold: 1) to evaluate the applicability of multi-temporal TerraSAR-X imagery for multiresolution segmentation, and 2) to identify suitable Scale Parameters through different weighing of different homogeneity criteria, mainly colour variance. Multiresolution segmentation was used for segmentation of multi-temporal TerraSAR-X imagery, and the ESP (Estimation of Scale Parameter) tool was used to identify suitable Scale Parameters for image segmentation. The validation of the segmentation results was performed using very high resolution WorldView-2 imagery and a reference map, which was created by an ecological expert. The results of multiresolution segmentation revealed that in the context of object-based image analysis the TerraSAR-X images are applicable for generating optimal image objects. Furthermore, ESP tool can be used as an indicator for estimation of Scale Parameter for multiresolution segmentation of TerraSAR-X imagery. Additionally, for more reliable results, this study suggests that the homogeneity criterion of colour, in a variance based segmentation algorithm, needs to be set to high values. Setting the shape/colour criteria to 0.005/0.995 or 0.00/1 led to the best results and to the creation of adequate image objects.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/123/2015/isprsarchives-XL-1-W5-123-2015.pdf
spellingShingle Z. Dabiri
D. Hölbling
S. Lang
A. Bartsch
APPLICABILITY OF MULTI-SEASONAL X-BAND SAR IMAGERY FOR MULTIRESOLUTION SEGMENTATION: A CASE STUDY IN A RIPARIAN MIXED FOREST
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title APPLICABILITY OF MULTI-SEASONAL X-BAND SAR IMAGERY FOR MULTIRESOLUTION SEGMENTATION: A CASE STUDY IN A RIPARIAN MIXED FOREST
title_full APPLICABILITY OF MULTI-SEASONAL X-BAND SAR IMAGERY FOR MULTIRESOLUTION SEGMENTATION: A CASE STUDY IN A RIPARIAN MIXED FOREST
title_fullStr APPLICABILITY OF MULTI-SEASONAL X-BAND SAR IMAGERY FOR MULTIRESOLUTION SEGMENTATION: A CASE STUDY IN A RIPARIAN MIXED FOREST
title_full_unstemmed APPLICABILITY OF MULTI-SEASONAL X-BAND SAR IMAGERY FOR MULTIRESOLUTION SEGMENTATION: A CASE STUDY IN A RIPARIAN MIXED FOREST
title_short APPLICABILITY OF MULTI-SEASONAL X-BAND SAR IMAGERY FOR MULTIRESOLUTION SEGMENTATION: A CASE STUDY IN A RIPARIAN MIXED FOREST
title_sort applicability of multi seasonal x band sar imagery for multiresolution segmentation a case study in a riparian mixed forest
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/123/2015/isprsarchives-XL-1-W5-123-2015.pdf
work_keys_str_mv AT zdabiri applicabilityofmultiseasonalxbandsarimageryformultiresolutionsegmentationacasestudyinariparianmixedforest
AT dholbling applicabilityofmultiseasonalxbandsarimageryformultiresolutionsegmentationacasestudyinariparianmixedforest
AT slang applicabilityofmultiseasonalxbandsarimageryformultiresolutionsegmentationacasestudyinariparianmixedforest
AT abartsch applicabilityofmultiseasonalxbandsarimageryformultiresolutionsegmentationacasestudyinariparianmixedforest