Evaluation of classification methods with polarimetric ALOS/PALSAR data

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsProfessional

Abstract

This article compares four land cover classification methods using ALOS Palsar fully polarimetric data. Two methods are based on supervised classification and two on unsupervised classification. Both full polarimetric and intensity data were used. Fully polarimetric data gave better results (85.5%–80.8%) than intensity data only (84%–76.1%) but the differences in the overall accuracies between the methods were not more than 6%. When using intensity data only, classification results with HH and HV features were as good as using in additionally also VV, HH+VV and HH-VV bands.
Original languageEnglish
Title of host publicationForests and Remote Sensing: Methods and Operational Tools (Forestsat 2007). Montpellier, France, 5-7 Nov. 2007
Number of pages5
EditionCD
Publication statusPublished - 2007
MoE publication typeNot Eligible
EventForests and Remote Sensing: Methods and Operational Tools, Forestsat 2007 - Montpellier, France
Duration: 5 Nov 20077 Nov 2007

Conference

ConferenceForests and Remote Sensing: Methods and Operational Tools, Forestsat 2007
Abbreviated titleForestsat
CountryFrance
CityMontpellier
Period5/11/077/11/07

Fingerprint

PALSAR
ALOS
unsupervised classification
image classification
land cover
evaluation
method

Keywords

  • Polarimetric synthetic aperture radar
  • land cover

Cite this

Lönnqvist, A., Rauste, Y., Ahola, H., Molinier, M., & Häme, T. (2007). Evaluation of classification methods with polarimetric ALOS/PALSAR data. In Forests and Remote Sensing: Methods and Operational Tools (Forestsat 2007). Montpellier, France, 5-7 Nov. 2007 (CD ed.)
Lönnqvist, Anne ; Rauste, Yrjö ; Ahola, Heikki ; Molinier, Matthieu ; Häme, Tuomas. / Evaluation of classification methods with polarimetric ALOS/PALSAR data. Forests and Remote Sensing: Methods and Operational Tools (Forestsat 2007). Montpellier, France, 5-7 Nov. 2007. CD. ed. 2007.
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abstract = "This article compares four land cover classification methods using ALOS Palsar fully polarimetric data. Two methods are based on supervised classification and two on unsupervised classification. Both full polarimetric and intensity data were used. Fully polarimetric data gave better results (85.5{\%}–80.8{\%}) than intensity data only (84{\%}–76.1{\%}) but the differences in the overall accuracies between the methods were not more than 6{\%}. When using intensity data only, classification results with HH and HV features were as good as using in additionally also VV, HH+VV and HH-VV bands.",
keywords = "Polarimetric synthetic aperture radar, land cover",
author = "Anne L{\"o}nnqvist and Yrj{\"o} Rauste and Heikki Ahola and Matthieu Molinier and Tuomas H{\"a}me",
note = "Poster presentation, CD proceedings for participants only HUO: Projektin nimi NewSAR Project code: 7859",
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Lönnqvist, A, Rauste, Y, Ahola, H, Molinier, M & Häme, T 2007, Evaluation of classification methods with polarimetric ALOS/PALSAR data. in Forests and Remote Sensing: Methods and Operational Tools (Forestsat 2007). Montpellier, France, 5-7 Nov. 2007. CD edn, Forests and Remote Sensing: Methods and Operational Tools, Forestsat 2007, Montpellier, France, 5/11/07.

Evaluation of classification methods with polarimetric ALOS/PALSAR data. / Lönnqvist, Anne; Rauste, Yrjö; Ahola, Heikki; Molinier, Matthieu; Häme, Tuomas.

Forests and Remote Sensing: Methods and Operational Tools (Forestsat 2007). Montpellier, France, 5-7 Nov. 2007. CD. ed. 2007.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsProfessional

TY - GEN

T1 - Evaluation of classification methods with polarimetric ALOS/PALSAR data

AU - Lönnqvist, Anne

AU - Rauste, Yrjö

AU - Ahola, Heikki

AU - Molinier, Matthieu

AU - Häme, Tuomas

N1 - Poster presentation, CD proceedings for participants only HUO: Projektin nimi NewSAR Project code: 7859

PY - 2007

Y1 - 2007

N2 - This article compares four land cover classification methods using ALOS Palsar fully polarimetric data. Two methods are based on supervised classification and two on unsupervised classification. Both full polarimetric and intensity data were used. Fully polarimetric data gave better results (85.5%–80.8%) than intensity data only (84%–76.1%) but the differences in the overall accuracies between the methods were not more than 6%. When using intensity data only, classification results with HH and HV features were as good as using in additionally also VV, HH+VV and HH-VV bands.

AB - This article compares four land cover classification methods using ALOS Palsar fully polarimetric data. Two methods are based on supervised classification and two on unsupervised classification. Both full polarimetric and intensity data were used. Fully polarimetric data gave better results (85.5%–80.8%) than intensity data only (84%–76.1%) but the differences in the overall accuracies between the methods were not more than 6%. When using intensity data only, classification results with HH and HV features were as good as using in additionally also VV, HH+VV and HH-VV bands.

KW - Polarimetric synthetic aperture radar

KW - land cover

M3 - Conference article in proceedings

BT - Forests and Remote Sensing: Methods and Operational Tools (Forestsat 2007). Montpellier, France, 5-7 Nov. 2007

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Lönnqvist A, Rauste Y, Ahola H, Molinier M, Häme T. Evaluation of classification methods with polarimetric ALOS/PALSAR data. In Forests and Remote Sensing: Methods and Operational Tools (Forestsat 2007). Montpellier, France, 5-7 Nov. 2007. CD ed. 2007