Enhancing remote sensing images by adjusting histogram globally and locally

Fu Chen; Xinpeng Li; Fangjun Li; Jianbo Liu; Jin Yang

doi:10.1117/12.869385

13 November 2010 Enhancing remote sensing images by adjusting histogram globally and locally

Fu Chen, Xinpeng Li, Fangjun Li, Jianbo Liu, Jin Yang

Proceedings Volume 7857, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III; 78570T (2010) https://doi.org/10.1117/12.869385
Event: SPIE Asia-Pacific Remote Sensing, 2010, Incheon, Korea, Republic of

Abstract

Contrast enhancement is essentially needed in mapping preprocessing due to low average brightness and low contrast of original remote sensing images. The frequently used methods improve the visual quality of remote sensing images while compress gray ranges of skin-tone. As a result, shape and texture of these oversaturated regions are missing or distorted. The proposed method named GL-Enhancing not only enhance the contrast of remote sensing image, but also keep shape and texture. It is found that GL-Enhancing performs better than Equalization, Linear-Stretch, Gauss and SquareRoot methods in QuickBird 321bands true color image experiment. GL-Enhancing is efficient in mapping preprocessing. The proposed algorithm is easy to implement.

Citation Download Citation

Fu Chen, Xinpeng Li, Fangjun Li, Jianbo Liu, and Jin Yang "Enhancing remote sensing images by adjusting histogram globally and locally", Proc. SPIE 7857, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III, 78570T (13 November 2010); https://doi.org/10.1117/12.869385

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