Subpixel target detection and enhancement in hyperspectral images

K. C. Tiwari; M. Arora; D. Singh

doi:10.1117/12.887426

20 May 2011 Subpixel target detection and enhancement in hyperspectral images

K. C. Tiwari, M. Arora, D. Singh

Proceedings Volume 8048, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII; 80481T (2011) https://doi.org/10.1117/12.887426
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

Hyperspectral data due to its higher information content afforded by higher spectral resolution is increasingly being used for various remote sensing applications including information extraction at subpixel level. There is however usually a lack of matching fine spatial resolution data particularly for target detection applications. Thus, there always exists a tradeoff between the spectral and spatial resolutions due to considerations of type of application, its cost and other associated analytical and computational complexities. Typically whenever an object, either manmade, natural or any ground cover class (called target, endmembers, components or class) gets spectrally resolved but not spatially, mixed pixels in the image result. Thus, numerous manmade and/or natural disparate substances may occur inside such mixed pixels giving rise to mixed pixel classification or subpixel target detection problems. Various spectral unmixing models such as Linear Mixture Modeling (LMM) are in vogue to recover components of a mixed pixel. Spectral unmixing outputs both the endmember spectrum and their corresponding abundance fractions inside the pixel. It, however, does not provide spatial distribution of these abundance fractions within a pixel. This limits the applicability of hyperspectral data for subpixel target detection. In this paper, a new inverse Euclidean distance based super-resolution mapping method has been presented that achieves subpixel target detection in hyperspectral images by adjusting spatial distribution of abundance fraction within a pixel. Results obtained at different resolutions indicate that super-resolution mapping may effectively aid subpixel target detection.

Citation Download Citation

K. C. Tiwari, M. Arora, and D. Singh "Subpixel target detection and enhancement in hyperspectral images", Proc. SPIE 8048, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, 80481T (20 May 2011); https://doi.org/10.1117/12.887426

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KEYWORDS

Target detection

Super resolution

Spatial resolution

Hyperspectral imaging

Hyperspectral target detection

Binary data

Data modeling

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