Model-based approach for detection of objects in low-resolution passive-millimeter images

Yuan-Ling Tang; Sadashiva Devadiga; Rangachar Kasturi; Randall L. Harris Sr.

doi:10.1117/12.171080

23 March 1994 Model-based approach for detection of objects in low-resolution passive-millimeter images

Yuan-Ling Tang, Sadashiva Devadiga, Rangachar Kasturi, Randall L. Harris Sr.

Proceedings Volume 2182, Image and Video Processing II; (1994) https://doi.org/10.1117/12.171080
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

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.

Citation Download Citation

Yuan-Ling Tang, Sadashiva Devadiga, Rangachar Kasturi, and Randall L. Harris Sr. "Model-based approach for detection of objects in low-resolution passive-millimeter images", Proc. SPIE 2182, Image and Video Processing II, (23 March 1994); https://doi.org/10.1117/12.171080

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