Acta Optica Sinica, Volume. 30, Issue 11, 3342(2010)
A Comparative Study of Two Remote Sensing Image Adjacency Effect Correction Algorithms Based on SHDOM Empirical Equation and Synchronized Measured Spectral Data
In terms of background reflectance computation and true reflectance acquisition, the two adjacency effect correction algorithms are studied comparatively. One is based on three-dimensional radiative transfer model SHDOM (Spectral Harmonics Discrete Ordinary Method) empirical equation for the nadir-viewing optical remote sensing image and the other is based on the synchronically measured spectral data. The data sources are Landsat-5 TM image with synchronized measured spectral data of sand, and ASTER image with synchronized measured spectral data of grass. The results demonstrate that the adjacency effect correction algorithm based on SHDOM empirical equation has more profound theoretical foundation according to the radiative transfer theory, and the image corrected by the adjacency effect correction algorithm based on the synchronized measured spectral data looks better.
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Wang Qian, Chen Xue, Ma Jianwen, Chen Jianping. A Comparative Study of Two Remote Sensing Image Adjacency Effect Correction Algorithms Based on SHDOM Empirical Equation and Synchronized Measured Spectral Data[J]. Acta Optica Sinica, 2010, 30(11): 3342
Category: Remote Sensing and Sensors
Received: Dec. 30, 2009
Accepted: --
Published Online: Nov. 16, 2010
The Author Email: Qian Wang (wangqian12031@163.com)