| Titre | Radarsat-2 POLInSAR coherence optimization for agriculture crop change detection |
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| Auteur | Li, Y; Liu, T; Lampropoulos, G; McNairn, H; Shang, J; Touzi, R |
| Source | IEEE International Geoscience and Remote Sensing Symposium proceedings 6947514, 2014 p. 4588-4591, https://doi.org/10.1109/IGARSS.2014.6947514 |
| Année | 2014 |
| Séries alt. | Ressources naturelles Canada, Contribution externe 20181695 |
| Éditeur | IEEE |
| Document | publication en série |
| Lang. | anglais |
| DOI | https://doi.org/10.1109/IGARSS.2014.6947514 |
| Media | papier; en ligne; numérique |
| Formats | pdf |
| Sujets | télédétection; géophysique |
| Programme | Direction du Centre canadien de télédétection |
| Diffusé | 2014 07 01 |
| Résumé | (disponible en anglais seulement)
This paper uses RADARSAT-2 QUADPOL fully POLarimetric Inteferometric Synthetic Aperture Radar (POLInSAR) data to detect agriculture crop fields changes using
coherence optimization method. The RADARSAT-2 POLInSAR data, acquired in July and September 2010, contains wheat, corn and soybean fields. Interferogram and coherence images were generated using single polarimetric data and fully polarimetric data.
The coherence optimization method was carried out by maximizing the complex Lagrangian function. The optimized coherence image from the largest eigenvalue can correctly detect changes in the agricultural fields which cannot be detected using single
coherence image. The results were validated using ground truth information. |
| GEOSCAN ID | 312050 |
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