Detecting payload performance based on relative radiometric characteristic: case of the optical sensors

Jie Han; Shengyang Li; Tao Zhang; Bangyong Qin

doi:10.1117/12.2244295

25 October 2016 Detecting payload performance based on relative radiometric characteristic: case of the optical sensors

Jie Han, Shengyang Li, Tao Zhang, Bangyong Qin

Proceedings Volume 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology; 101560D (2016) https://doi.org/10.1117/12.2244295
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

Abstract

In this paper, we propose a novel algorithm for accurately estimating the degree of radiometric non-uniformity in remote sensing images. The algorithm was tested on high-quality images and heavily striping images, and quantitative analyses were conducted to evaluate the performance for each band by measuring the radiometric non-uniformity of the images. The results demonstrated that the proposed algorithm exhibits high accuracy and stability compared with traditional algorithms. The radiometric performance of TianGong-1 short-wave infrared images was calculated using this new method, and it was highly correlated with the solar angle, pitch angle and refrigerator thermal according to the Apriori algorithm. Based on these results, we have proposed a strategy for restricting increases in striping.

Citation Download Citation

Jie Han, Shengyang Li, Tao Zhang, and Bangyong Qin "Detecting payload performance based on relative radiometric characteristic: case of the optical sensors", Proc. SPIE 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology, 101560D (25 October 2016); https://doi.org/10.1117/12.2244295

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