Paper
20 February 2018 The elimination of colour blocks in remote sensing images in VR
Xiuying Zhao, Guohui Li, Zhenyu Su
Author Affiliations +
Proceedings Volume 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application; 106972T (2018) https://doi.org/10.1117/12.2307320
Event: Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2017, Nanjing, China
Abstract
Aiming at the characteristics in HSI colour space of remote sensing images at different time in VR, a unified colour algorithm is proposed. First the method converted original image from RGB colour space to HSI colour space. Then, based on the invariance of the hue before and after the colour adjustment in the HSI colour space and the brightness translational features of the image after the colour adjustment, establish the linear model which satisfied these characteristics of the image. And then determine the range of the parameters in the model. Finally, according to the established colour adjustment model, the experimental verification is carried out. The experimental results show the proposed model can effectively recover the clear image, and the algorithm is faster. The experimental results show the proposed algorithm can effectively enhance the image clarity and can solve the pigment block problem well.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiuying Zhao, Guohui Li, and Zhenyu Su "The elimination of colour blocks in remote sensing images in VR", Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 106972T (20 February 2018); https://doi.org/10.1117/12.2307320
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KEYWORDS
RGB color model

Image processing

Remote sensing

Image processing algorithms and systems

Image segmentation

Satellite imaging

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