| Titre | Integration of RADARSAT-2 multi-polarization data for stereo image matching |
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| Auteur | Zakharov, I; Toutin, T |
| Source | Proceedings of the 30th Canadian symposium on remote sensing 'Bridging Excellence'; 2009, 9p. |
| Année | 2009 |
| Séries alt. | Secteur des sciences de la Terre, Contribution externe 20090178 |
| Éditeur | Société canadienne de télédétection |
| Réunion | 30th Canadian Symposium on Remote Sensing; Lethbridge, Alberta; CA; juin 22-25, 2009 |
| Document | livre |
| Lang. | anglais |
| Media | papier |
| Sujets | télédétection; imagerie radar; imagerie par satellite; méthodes radar; géophysique |
| Illustrations | images satellitaires; graphiques |
| Programme | Cartographie topographique |
| Résumé | (disponible en anglais seulement)
The problem of processing RADARSAT-2 multi-polarization data was considered for stereo-radargrammetric applications. A generation of digital terrain model
requires a stereo pair of intensity images acquired by satellite from different incident angles. Several techniques (span, restoration and application polarimetric filters) for noncoherent integration of an intensity (or magnitude without taking into
account phase information) image from multi-polarization data were investigated for improving stereo image matching. The method of image restoration makes it possible to recover a single image from several images degradated during the image formation
process. The image integration techniques were compared and evaluated with different quality measures such as Equivalent Number of Looks (ENL), mutual information, correlation coefficient and textural measures calculated from the gray level
co-occurrence matrix. The comparison shows that an image processed by the restoration method performs better than the other image integration techniques. A combination of some second order statistic measures with ENL makes it possible to estimate
stereo image matching accuracy. In addition the image processing results were analyzed at the signal level. An estimation of influence on the point target and the edge features makes it possible to conclude that there is a good preservation of small
details and edge with the use of the image restoration technique. |
| GEOSCAN ID | 247826 |
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