Sciweavers

Share
JEI
2010

Estimating reflectance from multispectral camera responses based on partial least-squares regression

9 years 4 months ago
Estimating reflectance from multispectral camera responses based on partial least-squares regression
Abstract. In multispectral imaging systems, the accuracy of reflectance estimation can be degraded by the nonlinearity in imaging process, which is due to non-Gaussian distribution of the data and nonlinear optoelectronic conversion function of the camera. To deal with nonlinearity, we propose to extend camera responses by highorder polynomials and reduce the overfitting problem by partial least-squares (PLS) regression. Experiment shows that, in terms of both spectral and colorimetric error metrics, the proposed method performs better than Wiener estimation and ordinary polynomial regression, and is similar to polynomial regression with
Hui-Liang Shen, Hui-Jiang Wan, Zhe-Chao Zhang
Added 19 May 2011
Updated 19 May 2011
Type Journal
Year 2010
Where JEI
Authors Hui-Liang Shen, Hui-Jiang Wan, Zhe-Chao Zhang
Comments (0)
books