Research on the color deviation detection for the satellite remote sensing image

Dongxing Tao; Chao Zhang; Yanqiang Bi; Yonghong Shang; Jing Wang; Zhongke Yin

doi:10.1117/12.2541001

12 March 2020 Research on the color deviation detection for the satellite remote sensing image

Dongxing Tao, Chao Zhang, Yanqiang Bi, Yonghong Shang, Jing Wang, Zhongke Yin

Proceedings Volume 11438, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 1143808 (2020) https://doi.org/10.1117/12.2541001
Event: 2019 International Conference on Optical Instruments and Technology, 2019, Beijing, China

Abstract

The color deviation, which refers to the different between the obtained image and the image under the standard light, is from the light source and reflection characteristic of the object. For satellite remote sensing, the length of the radiation transmission path is different for imaging of different latitudes, especially considering the effects of the atmosphere. Therefore, imaging for high latitude in the winter maybe brings some color deviation into the data. There have some color deviation detection methods for digital camera photo, but they are not fit for the remote sensing data, because of the large image range. In the work, a color deviation detection method for the satellite remote sensing image is developed. And the method is validated using the Landsat 8 images obtained in the winter and summer respectively.

Citation Download Citation

Dongxing Tao, Chao Zhang, Yanqiang Bi, Yonghong Shang, Jing Wang, and Zhongke Yin "Research on the color deviation detection for the satellite remote sensing image", Proc. SPIE 11438, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 1143808 (12 March 2020); https://doi.org/10.1117/12.2541001

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KEYWORDS

Remote sensing

Earth observing sensors

Satellite imaging

Satellites

Digital imaging

Detection and tracking algorithms

Digital cameras

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