| Titre | Rice scattering mechanism analysis and classification using polarimetric RADARSAT-2 |
| Auteur | Shao, Y; Li, K; Touzi, R; Brisco, B; Zhang, F |
| Source | IEEE International Geoscience and Remote Sensing Symposium proceedings 6351263, 2012 p. 1445-1448, https://doi.org/10.1109/IGARSS.2012.6351263 |
| Année | 2012 |
| Séries alt. | Ressources naturelles Canada, Contribution externe 20181202 |
| Éditeur | IEEE |
| Document | publication en série |
| Lang. | anglais |
| DOI | https://doi.org/10.1109/IGARSS.2012.6351263 |
| Media | papier; en ligne; numérique |
| Formats | pdf |
| Sujets | télédétection; géophysique |
| Programme | Géosciences de changements climatiques |
| Résumé | (disponible en anglais seulement)
China is the largest rice producer in the world. Guizhou province is an important rice growing area in the southwest of China. However, rice monitoring with
remote sensing data has great difficulties in this region due to its perennial cloud-coverage weather and undulating terrain. With the emergence of polarimetric SAR data and state of art methods for polarization information extraction, rice
monitoring in this region is more promising. In this study, multi-temporal RADARSAT-2 polarimetric SAR data set was acquired in Guizhou, China. The Freeman-Durden, Cloude-Pottier and the Touzi decompositions were used for classification and rice
scattering mechanism analysis. |
| GEOSCAN ID | 311556 |
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