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

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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 languageEnglish
Title of host publicationProceedings of PolInSAR 2011
Subtitle of host publicationESA Special Publication SP-695
Place of PublicationNoordwijk, The Netherlands
PublisherEuropean Space Agency ESA
Number of pages8
ISBN (Print)978-92-9092-259-9
Publication statusPublished - 2011
MoE publication typeA4 Article in a conference publication
Event5th Interbational Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry (PolInSAR 2011) - Frascati, Italy
Duration: 24 Jan 201128 Jan 2011

Conference

Conference5th Interbational Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry (PolInSAR 2011)
Abbreviated titlePolInSAR 2011
CountryItaly
CityFrascati
Period24/01/1128/01/11

Keywords

  • Snow
  • syntheric aperture radar
  • polarimetry
  • boreal forest

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