A Remote Sensing Image Processing Method Based on Color Restoration and Enhancement

被引:1
作者
Zeng, Yong [1 ]
Yi, Wei [1 ]
Wang, Yuhao [1 ]
Wang, Qi [1 ]
机构
[1] China Ctr Resources Satellite Data & Applicat, Beijing 100094, Peoples R China
来源
THIRTEENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2021) | 2022年 / 12083卷
关键词
Color restoration; remote sensing image; true color; visual effect; ALGORITHMS;
D O I
10.1117/12.2623543
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页数:6
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