TY - JOUR
T1 - On the positioning of multisensor imagery for exploitation and target recognition
AU - Chellappa, Rama
AU - Zheng, Qinfen
AU - Burlina, Philippe
AU - Shekhar, Chandra
AU - Eom, Kie B.
N1 - Funding Information:
Manuscript received February 9, 1996; revised September 7, 1996. This work was supported by the Defense Advanced Research Projects Agency Orders 8979 and A369, the U.S. Army Topographic Engineering Center Contract DACA76-92-C-0024, the Air Force Office of Scientific Research Contract F49620-93-I-0576, and the ARPA University-Industry ATR Initiative under a subcontract from McDonnell-Douglas.
PY - 1997
Y1 - 1997
N2 - Modern image exploitation tasks have evolved from the early single-image, pixel-based, and model-less methods to the current multi-image, multisensor, multiplatform, and model-based approaches. In this context, image positioning, which is the process of establishing the precise geometric relationship of an acquired image to the three-dimensional (3-D) world, has become an enabling technique for state-of-the-art multisensor data exploitation. Precise image positioning provides several benefits. Image registration, traditionally formulated as an image-to-image alignment problem, can now be carried out in accordance with interior and exterior sensor geometries. Images from sensors in arbitrary locations and orientations can be positioned with respect to a local vertical and geocentric coordinate systems. This paper presents techniques for positioning images derived from various sensors such as electro-optical (E-O), synthetic aperture radar (SAR), and interferometric synthetic aperture radar (IFSAR). Applications to model-supported image exploitation are also discussed.
AB - Modern image exploitation tasks have evolved from the early single-image, pixel-based, and model-less methods to the current multi-image, multisensor, multiplatform, and model-based approaches. In this context, image positioning, which is the process of establishing the precise geometric relationship of an acquired image to the three-dimensional (3-D) world, has become an enabling technique for state-of-the-art multisensor data exploitation. Precise image positioning provides several benefits. Image registration, traditionally formulated as an image-to-image alignment problem, can now be carried out in accordance with interior and exterior sensor geometries. Images from sensors in arbitrary locations and orientations can be positioned with respect to a local vertical and geocentric coordinate systems. This paper presents techniques for positioning images derived from various sensors such as electro-optical (E-O), synthetic aperture radar (SAR), and interferometric synthetic aperture radar (IFSAR). Applications to model-supported image exploitation are also discussed.
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U2 - 10.1109/5.554213
DO - 10.1109/5.554213
M3 - Article
AN - SCOPUS:0030785088
SN - 0018-9219
VL - 85
SP - 120
EP - 137
JO - Proceedings of the IEEE
JF - Proceedings of the IEEE
IS - 1
ER -