Multiscale beamlet transform application to airfield runway detection

Samir Sahli; Yunlong Sheng

doi:10.1117/12.777578

17 March 2008 Multiscale beamlet transform application to airfield runway detection

Samir Sahli, Yunlong Sheng

Proceedings Volume 6977, Optical Pattern Recognition XIX; 69770G (2008) https://doi.org/10.1117/12.777578
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

The context-driven target recognition requires the object-of-interest (OOI) to be first detected. We use the multiscale beamlet transform to detect airport runways as the OOI for detecting the aircraft. The up-to-down strategy in the beamlet graph structure is used for the connectivity and directional continuation of the edges, which are first detected in a coarse scale and are then refined at several finer scales.

Citation Download Citation

Samir Sahli and Yunlong Sheng "Multiscale beamlet transform application to airfield runway detection", Proc. SPIE 6977, Optical Pattern Recognition XIX, 69770G (17 March 2008); https://doi.org/10.1117/12.777578

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