23 March 1994 Model-based approach for detection of objects in low-resolution passive-millimeter images
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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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuan-Ling Tang, Sadashiva Devadiga, Rangachar Kasturi, Randall L. Harris, "Model-based approach for detection of objects in low-resolution passive-millimeter images", Proc. SPIE 2182, Image and Video Processing II, (23 March 1994); doi: 10.1117/12.171080; https://doi.org/10.1117/12.171080



Data modeling

Model-based design

Video processing

Image resolution

Imaging systems


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