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23 September 2003 Mitigation of thin-cloud effects on target detection within HSI data using target subspace projection
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Modern optical sensors can provide high quality multi/hyperspectral measurements of apparent radiance with high spectral and spatial resolution. A driving consideration if the full potential of this information stream be realized is mitigation of the effects of the --unavoidable -- uncertain elements which contribute to the radiance at aperture. These include atmospheric, geometric and shadowing effects, as well as variations in the optical properties of the target(s). Many techniques have recently been developed to address various aspects of this problem and much progress has been made. A general technique follows from calculation of a linear sub-space for the target vector, whose rank and extent reflects the uncertainty in the target radiance. With global coverage of thin cirrus exceeding eighty percent, it is natural to seek improved target detection performance for operational systems by anticipating the deleterious effects of thin clouds. We describe preliminary results for target detection within original and simulated hypercubes, with and without intervening thin clouds, using TSSP (Target Sub-Space Detection). The advantages of this technique for retrieval through realistic clouds -- non plane-parallel with spatially varying optical properties -- will also be discussed.
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Joseph G. Shanks, Andrey Dudkin, and Chia Y. Chang "Mitigation of thin-cloud effects on target detection within HSI data using target subspace projection", Proc. SPIE 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, (23 September 2003);

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