Spatial resolution enhancement of hyperspectral images from miniaturized sensors

Sivert Bakken; Dennis D. Langer; Joseph L. Garrett; Steven Yves Le Moan; Tor Arne Johansen

doi:10.1117/12.2683780

19 October 2023 Spatial resolution enhancement of hyperspectral images from miniaturized sensors

Sivert Bakken, Dennis D. Langer, Joseph L. Garrett, Steven Yves Le Moan, Tor Arne Johansen

Proceedings Volume 12733, Image and Signal Processing for Remote Sensing XXIX; 1273305 (2023) https://doi.org/10.1117/12.2683780
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Abstract

Here we describe and mitigate issues of optical aberrations related to wavelength-dependent blur caused by miniaturization in hyperspectral pushbroom image sensors, which degrade spatial resolution and limit their usefulness. Panchromatic sharpening algorithms are modified to enhance the spatial resolution of acquired hyperspectral image cubes, explicitly focusing on optical aberrations associated with pushbroom scanners. The study explores algorithms for component substitution and multi-resolution analysis, such as modulation and Laplacian pyramids, adapting them for single image cubes while considering the characteristics of miniaturized hyperspectral imagers. Simulations demonstrate the method’s effectiveness in improving the spatial quality of images obtained from miniaturized hyperspectral imagers, expanding their potential applicability. The study evaluates the method using metrics like the BRISQUE score and utilizes data from the HYPSO-1 CubeSat platform.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Sivert Bakken, Dennis D. Langer, Joseph L. Garrett, Steven Yves Le Moan, and Tor Arne Johansen "Spatial resolution enhancement of hyperspectral images from miniaturized sensors", Proc. SPIE 12733, Image and Signal Processing for Remote Sensing XXIX, 1273305 (19 October 2023); https://doi.org/10.1117/12.2683780

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