Laser & Optoelectronics Progress, Volume. 58, Issue 22, 2230003(2021)
Multi-Spectral Color Data Dimension Reduction Model Research Based on Sparse Representation
Fig. 1. RMSE distribution of each sample with SG color card as training set and Munsell color block as testset when each sample is reduced to six dimensions and reconstructed. (a) Spectral error distribution diagram obtained by PCA method; (b) spectral error distribution diagram obtained by SR method; (c) RMSE curve obtained by PCA method; (d) RMSE curve obtained by SR method
Fig. 2. Partial sample spectral reflectance curve, and reconstructed spectral curve based on PCA method and SR method. (a) Samples with high fitting degree; (b) samples of general fitness; (c) samples with poor fit
Fig. 3. Multispectral images from the University of Eastern Finland spectral image database. (a) Original image; (b) image reduced in dimension and reconstructed by SR method
|
|
|
Get Citation
Copy Citation Text
Xinyi Fang, Xiaoxia Wan, Shuo Shi, Xiao Teng, Junyan Yu. Multi-Spectral Color Data Dimension Reduction Model Research Based on Sparse Representation[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2230003
Category: Spectroscopy
Received: Jan. 22, 2021
Accepted: Feb. 12, 2021
Published Online: Nov. 10, 2021
The Author Email: Wan Xiaoxia (wan@whu.edu.cn)