PolSAR mosaic normalization for improved land-cover mapping

Oleg Antropov, Rauste, Anne Lönnqvist, Tuomas Häme

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)

Abstract

This letter describes an algorithm development for the production of a large-scale fully polarimetric synthetic aperture radar (SAR) (PolSAR) mosaic using multitemporal Advanced Land Observing Satellite Phased Array type L-band SAR acquisitions. The PolSAR data were collected during the snow-melting season in 2007 over Finnish Lapland, resulting in considerable radiometric differences between mosaiced scenes originating at different dates. Several variants of polarimetric seam hiding between the original PolSAR images were proposed and evaluated in order to effectively eliminate stripes in the mosaic. The impact of such seam-hiding procedure on PolSAR classification performance was studied, along with the technical aspects of producing the PolSAR mosaic. The obtained results indicate the advantages of the considered seam-hiding procedures for producing homogeneous mosaics and obtaining consistent classification results in a single classification step.
Original languageEnglish
Pages (from-to)1074-1078
Number of pages4
JournalIEEE Geoscience and Remote Sensing Letters
Volume9
Issue number6
DOIs
Publication statusPublished - 2012
MoE publication typeA1 Journal article-refereed

Fingerprint

Synthetic aperture radar
land cover
synthetic aperture radar
Snow
mosaic
normalisation
PALSAR
Melting
Satellites
snow
melting

Keywords

  • Classification
  • forestry
  • land cover
  • polarimetry
  • synthetic aperture radar (SAR)

Cite this

@article{2840f49f16da4189af4be2e37db48296,
title = "PolSAR mosaic normalization for improved land-cover mapping",
abstract = "This letter describes an algorithm development for the production of a large-scale fully polarimetric synthetic aperture radar (SAR) (PolSAR) mosaic using multitemporal Advanced Land Observing Satellite Phased Array type L-band SAR acquisitions. The PolSAR data were collected during the snow-melting season in 2007 over Finnish Lapland, resulting in considerable radiometric differences between mosaiced scenes originating at different dates. Several variants of polarimetric seam hiding between the original PolSAR images were proposed and evaluated in order to effectively eliminate stripes in the mosaic. The impact of such seam-hiding procedure on PolSAR classification performance was studied, along with the technical aspects of producing the PolSAR mosaic. The obtained results indicate the advantages of the considered seam-hiding procedures for producing homogeneous mosaics and obtaining consistent classification results in a single classification step.",
keywords = "Classification, forestry, land cover, polarimetry, synthetic aperture radar (SAR)",
author = "Oleg Antropov and Rauste and Anne L{\"o}nnqvist and Tuomas H{\"a}me",
note = "Project code: 107021; 114190",
year = "2012",
doi = "10.1109/LGRS.2012.2190263",
language = "English",
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pages = "1074--1078",
journal = "IEEE Geoscience and Remote Sensing Letters",
issn = "1545-598X",
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PolSAR mosaic normalization for improved land-cover mapping. / Antropov, Oleg; Rauste, ; Lönnqvist, Anne; Häme, Tuomas.

In: IEEE Geoscience and Remote Sensing Letters, Vol. 9, No. 6, 2012, p. 1074-1078.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - PolSAR mosaic normalization for improved land-cover mapping

AU - Antropov, Oleg

AU - Rauste, null

AU - Lönnqvist, Anne

AU - Häme, Tuomas

N1 - Project code: 107021; 114190

PY - 2012

Y1 - 2012

N2 - This letter describes an algorithm development for the production of a large-scale fully polarimetric synthetic aperture radar (SAR) (PolSAR) mosaic using multitemporal Advanced Land Observing Satellite Phased Array type L-band SAR acquisitions. The PolSAR data were collected during the snow-melting season in 2007 over Finnish Lapland, resulting in considerable radiometric differences between mosaiced scenes originating at different dates. Several variants of polarimetric seam hiding between the original PolSAR images were proposed and evaluated in order to effectively eliminate stripes in the mosaic. The impact of such seam-hiding procedure on PolSAR classification performance was studied, along with the technical aspects of producing the PolSAR mosaic. The obtained results indicate the advantages of the considered seam-hiding procedures for producing homogeneous mosaics and obtaining consistent classification results in a single classification step.

AB - This letter describes an algorithm development for the production of a large-scale fully polarimetric synthetic aperture radar (SAR) (PolSAR) mosaic using multitemporal Advanced Land Observing Satellite Phased Array type L-band SAR acquisitions. The PolSAR data were collected during the snow-melting season in 2007 over Finnish Lapland, resulting in considerable radiometric differences between mosaiced scenes originating at different dates. Several variants of polarimetric seam hiding between the original PolSAR images were proposed and evaluated in order to effectively eliminate stripes in the mosaic. The impact of such seam-hiding procedure on PolSAR classification performance was studied, along with the technical aspects of producing the PolSAR mosaic. The obtained results indicate the advantages of the considered seam-hiding procedures for producing homogeneous mosaics and obtaining consistent classification results in a single classification step.

KW - Classification

KW - forestry

KW - land cover

KW - polarimetry

KW - synthetic aperture radar (SAR)

U2 - 10.1109/LGRS.2012.2190263

DO - 10.1109/LGRS.2012.2190263

M3 - Article

VL - 9

SP - 1074

EP - 1078

JO - IEEE Geoscience and Remote Sensing Letters

JF - IEEE Geoscience and Remote Sensing Letters

SN - 1545-598X

IS - 6

ER -