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Proceedings Paper

Model-based approach for detection of objects in low-resolution passive-millimeter images
Author(s): Yuan-Ling Tang; Sadashiva Devadiga; Rangachar Kasturi; Randall L. Harris Sr.
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Paper Abstract

We describe a model-based vision system to assist the pilots in landing maneuvers under restricted visibility conditions. The system has been designed to analyze image sequences obtained from a passive millimeter wave (PMMW) imaging system mounted on the aircraft to delineate runways/taxiways, buildings, and other objects on or near runways. PMMW sensors have good response in a foggy atmosphere, but their spatial resolution is very low. However, additional data such as airport model and approximate position and orientation of aircraft are available. We exploit these data to guide our model-based system to locate objects in the low resolution image and generate warning signals to alert the pilots. We also derive analytical expressions for the accuracy of the camera position estimate obtained by detecting the position of known objects in the image.

Paper Details

Date Published: 23 March 1994
PDF: 11 pages
Proc. SPIE 2182, Image and Video Processing II, (23 March 1994); doi: 10.1117/12.171080
Show Author Affiliations
Yuan-Ling Tang, The Pennsylvania State Univ. (United States)
Sadashiva Devadiga, The Pennsylvania State Univ. (United States)
Rangachar Kasturi, The Pennsylvania State Univ. (United States)
Randall L. Harris Sr., NASA Langley Research Ctr. (United States)

Published in SPIE Proceedings Vol. 2182:
Image and Video Processing II
Sarah A. Rajala; Robert L. Stevenson, Editor(s)

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