Paper
16 February 2022 A remote sensing image processing method based on color restoration and enhancement
Yong Zeng, Wei Yi, Yuhao Wang, Qi Wang
Author Affiliations +
Proceedings Volume 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021); 120831X (2022) https://doi.org/10.1117/12.2623543
Event: Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 2021, Kunming, China
Abstract
The band design of satellite payload is bound up with its application. Generally speaking, visible and near-infrared (NIR) wavelength bands are included. Panchromatic and four multispectral bands, i.e., blue, green, red, and NIR wavelength bands have become the standard configuration of satellite optical payloads. In this study, based on the band settings, in-orbit operation status, imaging conditions and surface features, a color-enhanced remote sensing image processing method for is proposed for earth observation satellites in view of the application requirements. What’s more, the reasonable loading of the NIR band information lays a foundation for subsequent image visual interpretation and application display. Based on the above color restoration and enhancement processing, the brightness and sharpness of the image are enhanced to meet the visual effect by scientifically setting parameters, especially by improving the greenness of vegetation.
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Yong Zeng, Wei Yi, Yuhao Wang, and Qi Wang "A remote sensing image processing method based on color restoration and enhancement", Proc. SPIE 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 120831X (16 February 2022); https://doi.org/10.1117/12.2623543
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KEYWORDS
Satellites

Near infrared

Image enhancement

Satellite imaging

Vegetation

Remote sensing

Earth observing sensors

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