A comparative assessment of various super-resolution techniques in target detection and enhancement using hyperspectral data

Amrita A.; K. C. Tiwari

doi:10.1117/12.2223539

30 April 2016 A comparative assessment of various super-resolution techniques in target detection and enhancement using hyperspectral data

Amrita A., K. C. Tiwari

Author Affiliations +

Proceedings Volume 9880, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI; 98801V (2016) https://doi.org/10.1117/12.2223539
Event: SPIE Asia-Pacific Remote Sensing, 2016, New Delhi, India

Abstract

Algorithms for target detection in hyperspectral data successfully detect full pixel targets; but, they fail to simultaneously detect part of target which may be lying partially in surrounding pixels. This requires development of algorithms which can simultaneously detect the sub pixel targets in surrounding pixels so that shape of the target can be recovered for identification. Super resolution mapping is one such method for target identification and enhancement. Aim of this paper is to perform a comparative assessment of various existing super resolution mapping techniques and to present a super resolution mapping technique which can preferably work on non – random allocation of sub-pixels and non recursive optimization.

Citation Download Citation

Amrita A. and K. C. Tiwari "A comparative assessment of various super-resolution techniques in target detection and enhancement using hyperspectral data", Proc. SPIE 9880, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI, 98801V (30 April 2016); https://doi.org/10.1117/12.2223539

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