Methods for analyzing SAR images

Research output: Book/ReportReportProfessional

6 Citations (Scopus)

Abstract

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.
Original languageEnglish
Place of PublicationEspoo
PublisherVTT Technical Research Centre of Finland
Number of pages102
ISBN (Print)951-38-3434-4
Publication statusPublished - 1989
MoE publication typeD4 Published development or research report or study

Publication series

NameTutkimuksia / Valtion teknillinen tutkimuskeskus
PublisherVTT
Volume612

Fingerprint

synthetic aperture radar
Seasat
backscatter
mixed forest
digital elevation model
land cover
topography
anomaly
method
speckle
deciduous forest
Landsat thematic mapper
image analysis
quantitative analysis
outcrop
sensor
vegetation
soil

Keywords

  • remote sensing
  • synthetic aperture radar
  • image analysis

Cite this

Rauste, Y. (1989). Methods for analyzing SAR images. Espoo: VTT Technical Research Centre of Finland. Valtion teknillinen tutkimuskeskus. Tutkimuksia - Research Reports, No. 612
Rauste, Yrjö. / Methods for analyzing SAR images. Espoo : VTT Technical Research Centre of Finland, 1989. 102 p. (Valtion teknillinen tutkimuskeskus. Tutkimuksia - Research Reports; No. 612).
@book{d96b13b89bbe4d6ebdcdae6d173bf3b3,
title = "Methods for analyzing SAR images",
abstract = "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.",
keywords = "remote sensing, synthetic aperture radar, image analysis",
author = "Yrj{\"o} Rauste",
year = "1989",
language = "English",
isbn = "951-38-3434-4",
series = "Tutkimuksia / Valtion teknillinen tutkimuskeskus",
publisher = "VTT Technical Research Centre of Finland",
address = "Finland",

}

Rauste, Y 1989, Methods for analyzing SAR images. Valtion teknillinen tutkimuskeskus. Tutkimuksia - Research Reports, no. 612, VTT Technical Research Centre of Finland, Espoo.

Methods for analyzing SAR images. / Rauste, Yrjö.

Espoo : VTT Technical Research Centre of Finland, 1989. 102 p. (Valtion teknillinen tutkimuskeskus. Tutkimuksia - Research Reports; No. 612).

Research output: Book/ReportReportProfessional

TY - BOOK

T1 - Methods for analyzing SAR images

AU - Rauste, Yrjö

PY - 1989

Y1 - 1989

N2 - 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.

AB - 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.

KW - remote sensing

KW - synthetic aperture radar

KW - image analysis

M3 - Report

SN - 951-38-3434-4

T3 - Tutkimuksia / Valtion teknillinen tutkimuskeskus

BT - Methods for analyzing SAR images

PB - VTT Technical Research Centre of Finland

CY - Espoo

ER -

Rauste Y. Methods for analyzing SAR images. Espoo: VTT Technical Research Centre of Finland, 1989. 102 p. (Valtion teknillinen tutkimuskeskus. Tutkimuksia - Research Reports; No. 612).