Paper
3 November 2010 A new semi-empirical topographic correction method for optical remote sensing imagery in rugged terrain
Liming Wang, Qinjun Wang
Author Affiliations +
Proceedings Volume 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications; 784108 (2010) https://doi.org/10.1117/12.873155
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China
Abstract
On the basis of detailed analysis of several classic topographic correction methods, the authors proposed a new semi-empirical method according to the theories of SCS, C and Minnaert correction, which accounts for diffuse irradiance from C correction and the non-Lambertian reflectance behavior of a surface from Minnaert correction. In addition, it has the advantages of SCS method which preserves the geotropic nature of trees (vertical growth) regardless of terrain, view, and illumination angles. The new method was tested by ETM imagery acquired on April 30th, 2000 of Miyun county of Beijing, China. We analyzed comparatively the correction results through visual analysis of corrected images, statistical analysis of mean and standard deviation, and the correlation analysis between radiance and the illumination angle. The results show that the correlation between the illumination angle and radiance corrected by the new method decreases obviously and its spectral characteristics are preserved perfectly. It was concluded that the new method could be considered as a good method for topographic correction of optical remote sensing imagery in rugged terrain.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Liming Wang and Qinjun Wang "A new semi-empirical topographic correction method for optical remote sensing imagery in rugged terrain", Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 784108 (3 November 2010); https://doi.org/10.1117/12.873155
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Statistical analysis

Remote sensing

Earth observing sensors

Landsat

Visualization

Optical calibration

Atmospheric modeling

Back to Top