Paper
9 November 2012 Quality evaluation of pansharpened hyperspectral images generated using multispectral images
Masayuki Matsuoka, Hiroki Yoshioka
Author Affiliations +
Abstract
Hyperspectral remote sensing can provide a smooth spectral curve of a target by using a set of higher spectral resolution detectors. The spatial resolution of the hyperspectral images, however, is generally much lower than that of multispectral images due to the lower energy of incident radiation. Pansharpening is an image-fusion technique that generates higher spatial resolution multispectral images by combining lower resolution multispectral images with higher resolution panchromatic images. In this study, higher resolution hyperspectral images were generated by pansharpening of simulated lower hyperspectral and higher multispectral data. Spectral and spatial qualities of pansharpened images, then, were accessed in relation to the spectral bands of multispectral images. Airborne hyperspectral data of AVIRIS was used in this study, and it was pansharpened using six methods. Quantitative evaluations of pansharpened image are achieved using two frequently used indices, ERGAS, and the Q index.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Masayuki Matsuoka and Hiroki Yoshioka "Quality evaluation of pansharpened hyperspectral images generated using multispectral images", Proc. SPIE 8527, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications IV, 85270B (9 November 2012); https://doi.org/10.1117/12.977308
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Cited by 1 scholarly publication.
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KEYWORDS
Multispectral imaging

Spatial resolution

Hyperspectral imaging

Agriculture

Image resolution

Sensors

Image quality

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