Real-time detection of targets in hyperspectral images using radial basis neural network filtering

Tom Thomas; M. Serkan Ozkan

doi:10.1117/12.732523

24 September 2007 Real-time detection of targets in hyperspectral images using radial basis neural network filtering

Tom Thomas, M. Serkan Ozkan

Proceedings Volume 6696, Applications of Digital Image Processing XXX; 66960E (2007) https://doi.org/10.1117/12.732523
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

A spectral target recognition technique has been developed that detects targets in hyperspectral images in real time. The technique is based on the configuration of a radial basis neural network filter that is specific for a particular target spectral signature or series of target spectral signatures. Detection of targets in actual 36-band CASI, and 210-band HYDICE images is compared to existing recognition techniques and results in considerable reduction in overall image processing time and greater accuracy than existing spectral processing algorithms.

Citation Download Citation

Tom Thomas and M. Serkan Ozkan "Real-time detection of targets in hyperspectral images using radial basis neural network filtering", Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66960E (24 September 2007); https://doi.org/10.1117/12.732523

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