Methods for analyzing SAR images

Methods for SAR (Synthetic Aperture Radar) image analysis have been studied. A Seasat SAR image of a test site in northern Sweden near Arjeplog has been analysed together with a Landsat Thematic Mapper image of the same area. The SAR image was rectified using a polynomial rectification method with a...

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Main Author: Rauste, Yrjö
Format: Book
Language:English
Published: VTT Technical Research Centre of Finland 1989
Subjects:
Online Access:https://cris.vtt.fi/en/publications/d96b13b8-9bbe-4d6e-bdcd-ae6d173bf3b3
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author Rauste, Yrjö
author_facet Rauste, Yrjö
author_sort Rauste, Yrjö
collection VTT's Research Information Portal
description Methods for SAR (Synthetic Aperture Radar) image analysis have been studied. A Seasat SAR image of a test site in northern Sweden near Arjeplog has been analysed together with a Landsat Thematic Mapper image of the same area. The SAR image was rectified using a polynomial rectification method with a digital elevation model. A backscatter anomaly map was produced showing areas where the backscattering coefficient of the soil/vegetation deviates from the average backscatter within the image. Quantitative analysis of topography-induced variation in SAR images was carried out. The separability of four land cover classes (spruce-dominated mixed forest, pine dominated mixed forest, deciduous forest, and regenerated area) in Seasat data was studied. The high accuracy of the polynomial rectification of SAR images (RMSE less than a resolution cell) shows that polynomial rectification using digital elevation data is well suited for applications where SAR data is merged with images from other sensors. Field checks showed that the backscatter anomaly map, produced using Seasat SAR data and a digital elevation model, highlights outcrops and areas covered by boulders. Terrain topography can explain more than 65 per cent of the total variation of SAR image in land areas. The separability of land cover classes improved with increasing incidence angle and increasing amount of speckle reduction.
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Northern Sweden
genre_facet Arjeplog
Northern Sweden
geographic Arjeplog
geographic_facet Arjeplog
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op_source Rauste , Y 1989 , Methods for analyzing SAR images . Valtion teknillinen tutkimuskeskus. Tutkimuksia - Research Reports , no. 612 , VTT Technical Research Centre of Finland , Espoo .
publishDate 1989
publisher VTT Technical Research Centre of Finland
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spelling ftvttcrispub:oai:cris.vtt.fi:publications/d96b13b8-9bbe-4d6e-bdcd-ae6d173bf3b3 2025-01-16T20:54:10+00:00 Methods for analyzing SAR images Rauste, Yrjö 1989 https://cris.vtt.fi/en/publications/d96b13b8-9bbe-4d6e-bdcd-ae6d173bf3b3 eng eng VTT Technical Research Centre of Finland info:eu-repo/semantics/restrictedAccess Rauste , Y 1989 , Methods for analyzing SAR images . Valtion teknillinen tutkimuskeskus. Tutkimuksia - Research Reports , no. 612 , VTT Technical Research Centre of Finland , Espoo . remote sensing synthetic aperture radar image analysis /dk/atira/pure/sustainabledevelopmentgoals/life_on_land SDG 15 - Life on Land book 1989 ftvttcrispub 2022-10-13T13:58:47Z Methods for SAR (Synthetic Aperture Radar) image analysis have been studied. A Seasat SAR image of a test site in northern Sweden near Arjeplog has been analysed together with a Landsat Thematic Mapper image of the same area. The SAR image was rectified using a polynomial rectification method with a digital elevation model. A backscatter anomaly map was produced showing areas where the backscattering coefficient of the soil/vegetation deviates from the average backscatter within the image. Quantitative analysis of topography-induced variation in SAR images was carried out. The separability of four land cover classes (spruce-dominated mixed forest, pine dominated mixed forest, deciduous forest, and regenerated area) in Seasat data was studied. The high accuracy of the polynomial rectification of SAR images (RMSE less than a resolution cell) shows that polynomial rectification using digital elevation data is well suited for applications where SAR data is merged with images from other sensors. Field checks showed that the backscatter anomaly map, produced using Seasat SAR data and a digital elevation model, highlights outcrops and areas covered by boulders. Terrain topography can explain more than 65 per cent of the total variation of SAR image in land areas. The separability of land cover classes improved with increasing incidence angle and increasing amount of speckle reduction. Book Arjeplog Northern Sweden VTT's Research Information Portal Arjeplog ENVELOPE(17.886,17.886,66.052,66.052)
spellingShingle remote sensing
synthetic aperture radar
image analysis
/dk/atira/pure/sustainabledevelopmentgoals/life_on_land
SDG 15 - Life on Land
Rauste, Yrjö
Methods for analyzing SAR images
title Methods for analyzing SAR images
title_full Methods for analyzing SAR images
title_fullStr Methods for analyzing SAR images
title_full_unstemmed Methods for analyzing SAR images
title_short Methods for analyzing SAR images
title_sort methods for analyzing sar images
topic remote sensing
synthetic aperture radar
image analysis
/dk/atira/pure/sustainabledevelopmentgoals/life_on_land
SDG 15 - Life on Land
topic_facet remote sensing
synthetic aperture radar
image analysis
/dk/atira/pure/sustainabledevelopmentgoals/life_on_land
SDG 15 - Life on Land
url https://cris.vtt.fi/en/publications/d96b13b8-9bbe-4d6e-bdcd-ae6d173bf3b3