Title :
A Generic Framework for Disparity Map Estimation between Multi-Sensor Remote Sensing Images
Author :
Inglada, JI ; Michel, J. ; Feuvrier, T.
Author_Institution :
CNES, DCT/SI/AP, Toulouse
Abstract :
Disparity map estimation consists in finding the geometric deformation between two images of the same scene usually acquired with different viewing angles. The disparity map can be used for 3D information extraction or for image registration. Depending on the type of deformation between images, the physics of the sensors and the accuracy needed in the application, different approaches can be applied. This paper presents a generic framework for disparity map estimation in which different modules can be combined and tuned in order to suit the constraints of different applications.
Keywords :
geophysical signal processing; image registration; remote sensing; 3D information extraction; disparity map estimation; generic framework; image registration; multisensor remote sensing; Deformable models; Discrete cosine transforms; Frequency estimation; Image registration; Image sampling; Image sensors; Optical sensors; Pixel; Remote sensing; Solid modeling; Deformation field; Disparity map estimation; Image registration;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779377
