Title :
Merging of SAR and optical features for 3D reconstruction in a radargrammetric framework
Author_Institution :
Dept. TSI, Ecole Nat. Superieure des Telecommun., Paris, France
Abstract :
The aim of this paper is to propose a framework for the use of both SAR and optical data in a 3D reconstruction process. The SAR data provide height information either by interferometric or radargrammetric process and the optical data provides building shapes. The method is based on a Markov random field defined on a region adjacency graph. The regions are obtained using a segmentation of the optical image. The graph is then fed by the height information (either interferometric or radargrammetric) computed with the SAR data. The Markovian regularization takes height discontinuities into account thanks to an implicit edge process.
Keywords :
Markov processes; edge detection; geophysical signal processing; image segmentation; interferometry; synthetic aperture radar; 3D reconstruction; Markov random field; Markovian regularization; adjacency graph; building shape information; edge process; height discontinuity; height information; interferometric process; optical feature/SAR merging; optical image segmentation; radargrammetric framework; synthetic aperture radar; Adaptive optics; Image reconstruction; Image segmentation; Markov random fields; Merging; Optical distortion; Optical interferometry; Optical scattering; Optical sensors; Shape;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1368952