Fully polarimetric SAR mosaicing and land cover classification in the northern taiga region

Oleg Antropov; Yrjö Rauste; Anne Lönnqvist; Tuomas Häme

Fully polarimetric SAR mosaicing and land cover classification in the northern taiga region

Oleg Antropov, Yrjö Rauste, Anne Lönnqvist, Tuomas Häme

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

The paper describes an algorithm development for production of large-scale fully polarimetric mosaic using multitemporal ALOS PALSAR acquisitions during snow melting season in Lapland. Several popular supervised and unsupervised polarimetric classification methods are benchmarked in order to identify more suitable and robust approach for multitemporal mosaic processing. Different variants of polarimetric seamhiding between original images are evaluated in order to effectively eliminate stripes in the mosaic. Also an impact of such seam-hiding on classification performance is studied. Obtained results indicate the necessity of seam-hiding procedure for producing homogeneous mosaics and obtaining consistent classification results in a single classification step

Original language	English
Title of host publication	Proceedings of PolInSAR 2011
Subtitle of host publication	ESA Special Publication SP-695
Place of Publication	Noordwijk, The Netherlands
Publisher	European Space Agency (ESA)
Number of pages	8
ISBN (Print)	978-92-9092-259-9
Publication status	Published - 2011
MoE publication type	A4 Article in a conference publication
Event	5th Interbational Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry (PolInSAR 2011) - Frascati, Italy Duration: 24 Jan 2011 → 28 Jan 2011

Conference

Conference	5th Interbational Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry (PolInSAR 2011)
Abbreviated title	PolInSAR 2011
Country/Territory	Italy
City	Frascati
Period	24/01/11 → 28/01/11

Keywords

Snow
syntheric aperture radar
polarimetry
boreal forest

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http://articles.adsabs.harvard.edu/cgi-bin/nph-iarticle_query?2011ESASP.695E..45A&data_type=PDF_HIGH&whole_paper=YES&type=PRINTER&filetype=.pdf

Cite this

Antropov, O., Rauste, Y., Lönnqvist, A., & Häme, T. (2011). Fully polarimetric SAR mosaicing and land cover classification in the northern taiga region. In Proceedings of PolInSAR 2011: ESA Special Publication SP-695 European Space Agency (ESA). http://articles.adsabs.harvard.edu/cgi-bin/nph-iarticle_query?2011ESASP.695E..45A&data_type=PDF_HIGH&whole_paper=YES&type=PRINTER&filetype=.pdf

@inproceedings{c8d0b7992c9540cc807639c7321174a1,

title = "Fully polarimetric SAR mosaicing and land cover classification in the northern taiga region",

abstract = "The paper describes an algorithm development for production of large-scale fully polarimetric mosaic using multitemporal ALOS PALSAR acquisitions during snow melting season in Lapland. Several popular supervised and unsupervised polarimetric classification methods are benchmarked in order to identify more suitable and robust approach for multitemporal mosaic processing. Different variants of polarimetric seamhiding between original images are evaluated in order to effectively eliminate stripes in the mosaic. Also an impact of such seam-hiding on classification performance is studied. Obtained results indicate the necessity of seam-hiding procedure for producing homogeneous mosaics and obtaining consistent classification results in a single classification step",

keywords = "Snow, syntheric aperture radar, polarimetry, boreal forest",

author = "Oleg Antropov and Yrj{\"o} Rauste and Anne L{\"o}nnqvist and Tuomas H{\"a}me",

note = "Project code: 26202 ; 5th Interbational Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry (PolInSAR 2011), PolInSAR 2011 ; Conference date: 24-01-2011 Through 28-01-2011",

year = "2011",

language = "English",

isbn = "978-92-9092-259-9",

booktitle = "Proceedings of PolInSAR 2011",

publisher = "European Space Agency (ESA)",

address = "France",

}

Antropov, O, Rauste, Y, Lönnqvist, A & Häme, T 2011, Fully polarimetric SAR mosaicing and land cover classification in the northern taiga region. in Proceedings of PolInSAR 2011: ESA Special Publication SP-695. European Space Agency (ESA), Noordwijk, The Netherlands, 5th Interbational Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry (PolInSAR 2011), Frascati, Italy, 24/01/11. <http://articles.adsabs.harvard.edu/cgi-bin/nph-iarticle_query?2011ESASP.695E..45A&data_type=PDF_HIGH&whole_paper=YES&type=PRINTER&filetype=.pdf>

Fully polarimetric SAR mosaicing and land cover classification in the northern taiga region. / Antropov, Oleg; Rauste, Yrjö; Lönnqvist, Anne et al.
Proceedings of PolInSAR 2011: ESA Special Publication SP-695. Noordwijk, The Netherlands: European Space Agency (ESA), 2011.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Fully polarimetric SAR mosaicing and land cover classification in the northern taiga region

AU - Antropov, Oleg

AU - Rauste, Yrjö

AU - Lönnqvist, Anne

AU - Häme, Tuomas

N1 - Project code: 26202

PY - 2011

Y1 - 2011

N2 - The paper describes an algorithm development for production of large-scale fully polarimetric mosaic using multitemporal ALOS PALSAR acquisitions during snow melting season in Lapland. Several popular supervised and unsupervised polarimetric classification methods are benchmarked in order to identify more suitable and robust approach for multitemporal mosaic processing. Different variants of polarimetric seamhiding between original images are evaluated in order to effectively eliminate stripes in the mosaic. Also an impact of such seam-hiding on classification performance is studied. Obtained results indicate the necessity of seam-hiding procedure for producing homogeneous mosaics and obtaining consistent classification results in a single classification step

AB - The paper describes an algorithm development for production of large-scale fully polarimetric mosaic using multitemporal ALOS PALSAR acquisitions during snow melting season in Lapland. Several popular supervised and unsupervised polarimetric classification methods are benchmarked in order to identify more suitable and robust approach for multitemporal mosaic processing. Different variants of polarimetric seamhiding between original images are evaluated in order to effectively eliminate stripes in the mosaic. Also an impact of such seam-hiding on classification performance is studied. Obtained results indicate the necessity of seam-hiding procedure for producing homogeneous mosaics and obtaining consistent classification results in a single classification step

KW - Snow

KW - syntheric aperture radar

KW - polarimetry

KW - boreal forest

M3 - Conference article in proceedings

SN - 978-92-9092-259-9

BT - Proceedings of PolInSAR 2011

PB - European Space Agency (ESA)

CY - Noordwijk, The Netherlands

T2 - 5th Interbational Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry (PolInSAR 2011)

Y2 - 24 January 2011 through 28 January 2011

ER -

Fully polarimetric SAR mosaicing and land cover classification in the northern taiga region

Abstract

Conference

Keywords

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