Research of Improved Minnaert Topographic Correction Model and Application

Abstract:

The topographic correction of remote sensing images is an important factor to improve the precision of quantitative remote sensing data processing. In the existing topographic correction models,the Minnaert model is the only model based on the assumption of non-Lambertian.the Minnaert coefficient K is an effective factor for the correction results. To improve the correction accuracy,we correct the image in accordance with the slope grading idea to select different areas from the image, then use different k values in different slope regions.In this paper, the topography correction is efficiently corrected by SCS model, Minnaert model and improved Minnaert model, based on HJCCD image and the corresponding DEM in Heihe . The results showed that the improved Minnaert model can eliminate the effect of topography better than other methods and can be widely used.

• Periodical: Applied Mechanics and Materials (Volumes 543-547)
• Pages: 2780-2783
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.543-547.2780
• Online since: March 2014
• Authors: Yan Zhen Wu*, Zuo Cheng Wang, Fu Pin Yang, Xiao Bing Luo
• Keywords: Image, K, Minnaert Model, Topography Correction

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