Title :
Modal matching driven association between meteorological objects in stereo satellite images
Author :
Campbell, Garrett ; Dell´Acqua, Fabio ; Gamba, Paolo
Author_Institution :
CIRA, Colorado State Univ., Fort Collins, CO, USA
Abstract :
In this paper a method for matching parts of objects from stereo satellite images is presented. The method is based on a modal matching algorithm: the objects to be matched are sampled and ideally turned into elastic objects. A finite element method allows computing modes of vibration for such elastic bodies. By comparing displacements due to vibrations in each point from both pictures it is possible to match corresponding parts in the two different viewpoints
Keywords :
atmospheric techniques; finite element analysis; geophysical signal processing; image matching; remote sensing; stereo image processing; elastic bodies; elastic objects; finite element method; meteorological objects; modal matching algorithm; modal matching driven association; modes of vibration; stereo satellite images; viewpoints; Data mining; Finite element methods; Frequency; Head; Meteorology; Pixel; Planets; Satellites; Shape; USA Councils;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Conference_Location :
Hamburg
Print_ISBN :
0-7803-5207-6
DOI :
10.1109/IGARSS.1999.773489
