Small object hyperspectral detection from a low-flying UAV

J. Murray-Krezan; J. G. Neumann; R. A. Leathers

doi:10.1117/12.776871

16 April 2008 Small object hyperspectral detection from a low-flying UAV

J. Murray-Krezan, J. G. Neumann, R. A. Leathers

Proceedings Volume 6969, Signal and Data Processing of Small Targets 2008; 69691C (2008) https://doi.org/10.1117/12.776871
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

Small object detection with a low false alarm rate remains a challenge for automated hyperspectral detection algorithms when the background environment is cluttered. In order to approach this problem we are developing a compact hyperspectral sensor that can be fielded from a small unmanned airborne platform. This platform is capable of flying low and slow, facilitating the collection of hyperspectral imagery that has a small ground-sample distance (GSD) and small atmospheric distortion. Using high-resolution hyperspectral imagery we simulate various ranges between the sensor and the objects of interest. This numerical study aids in analysis of the effects of stand-off distance on detection versus false alarm rates when using standard hyperspectral detection algorithms. Preliminary experimental evidence supports our simulation results.

Citation Download Citation

J. Murray-Krezan, J. G. Neumann, and R. A. Leathers "Small object hyperspectral detection from a low-flying UAV", Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69691C (16 April 2008); https://doi.org/10.1117/12.776871

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