Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-4/W19, 239-244, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-4-W19-239-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
07 Sep 2012
DSM GENERATION FROM HIGH RESOLUTION COSMO-SKYMED IMAGERY WITH RADARGRAMMETRIC MODEL
P. Capaldo, M. Crespi, F. Fratarcangeli, A. Nascetti, and F. Pieralice Area di Geodesia e Geomatica – DICEA, Universit`a di Roma "La Sapienza", Italy
Keywords: High Resolution SAR, Radargrammetry, COSMO-SkyMed, RPCs generation, DSM generation Abstract. The availability of new high resolution radar spaceborne sensors offers new interesting potentialities for the geomatics application: spatial and temporal change detection, features extraction, generation of Digital Surface (DSMs). As regards the DSMs generation from new high resolution data (as SpotLight imagery), the development and the accuracy assessment of method based on radargrammetric approach are topics of great interest and relevance. The aim of this investigation is the DSM generation from a COSMO-SkyMed Spotlight stereo pair with the radargrammetric technique. DSM generation procedure consists of two basic steps: the stereo pair orientation and the image matching. The suite for radargrammetric approach has been implemented in SISAR (Software per Immagini Satellitari ad Alta Risoluzione), a scientific software developed at the Geodesy and Geomatic Institute of the University of Rome "La Sapienza". As regard the image matching the critical issue is the definition of a strategy to search the corresponding points; in SISAR software, an original matching procedure has been developed, based on a coarse-to-fine hierarchical solution with an effective combination of geometrical constrains and an Area Base Matching (ABM) algorithm.
Conference paper (PDF, 1994 KB)


Citation: Capaldo, P., Crespi, M., Fratarcangeli, F., Nascetti, A., and Pieralice, F.: DSM GENERATION FROM HIGH RESOLUTION COSMO-SKYMED IMAGERY WITH RADARGRAMMETRIC MODEL, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-4/W19, 239-244, https://doi.org/10.5194/isprsarchives-XXXVIII-4-W19-239-2011, 2011.

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