| Titre | Effects of incidence angles on mapping accuracy of surficial materials in the Umiujalik Lake area, Nunavut, using RADARSAT-2 polarimetric SAR images. Part 2. Polarimetric analysis |
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| Auteur | Shelat, Y; Lentz, D; Leblon, B; LaRocque, A; Harris, J; Jefferson, C; Tschirhart, V |
| Source | Canadian Journal of Remote Sensing vol. 38, no. 3, 2012 p. 404-423, https://doi.org/10.5589/m12-031 |
| Année | 2012 |
| Séries alt. | Ressources naturelles Canada, Contribution externe 20182693 |
| Éditeur | Informa UK Limited |
| Document | publication en série |
| Lang. | anglais |
| DOI | https://doi.org/10.5589/m12-031 |
| Media | papier; en ligne; numérique |
| Formats | pdf |
| Province | Nunavut |
| Diffusé | 2014 06 05 |
| Résumé | (disponible en anglais seulement)
Our study assesses the effect of incidence angle on classifications obtained using various polarimetric classifiers applied to polarimetric RADARSAT-2 synthetic
aperature radar (SAR) images for mapping surficial materials in Arctic Canada. The RADARSAT-2 polarimetric SAR images were acquired over the Umiujalik Lake test area of Nunavut in three west-looking descending beam modes (FQ1, FQ12, and FQ20) with
increasing respective incidence angles. Polarimetric analyses included computation of polarimetric signatures, Wishart supervised classification, as well as Wishart-H/-a, Wishart-H/?/A, and Freeman-Wishart unsupervised classifications. Polarimetric
signatures helped to understand class separability as a function of the scattering mechanisms of the surficial materials considered in this study. The medium incidence angle (FQ12) image produced the best overall classification accuracy (48.7%) for
the Wishart supervised classification. In general, the Freeman-Wishart unsupervised classification produced better areal distribution of surficial materials with the FQ12 and FQ20 images than with the steep angle FQ1 image. More sophisticated
classification algorithms are required to combine the multibeam RADARSAT-2 polarimetric SAR images with other geospatial data such as optical images and digital elevation model data. The influences of variable environmental conditions (moisture and
temperature) on mapping accuracy of surficial materials also require further research. © 2012 CASI. |
| GEOSCAN ID | 312537 |
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