Laser & Optoelectronics Progress, Volume. 57, Issue 24, 242803(2020)
Estimation Method of VIS-NIR Spectroscopy for Soil Organic Matter Based on Sparse Networks
Fig. 1. AE network structure
Fig. 2. Results of combined method of PCA and Mahalanobis distance to eliminate abnormal samples
Fig. 3. Reflectance curves of SOM and different VIS-NIR spectra. (a) Original spectrum; (b) first-order spectrum; (c) second-order spectrum
Fig. 4. Correlation curves of different VIS-NIR spectra and SOM. (a) Original spectrum; (b) first-order spectrum; (c) second-order spectrum
Fig. 5. PCA eigenvalues and contribution rate
Fig. 6. RMSE curve of characteristic band
Fig. 7. SAE network structure and parameters
Fig. 8. Relationship between variable selection method and R2 in SOM
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Si Ran, Jianli Ding, Xiangyu Ge, Bohua Liu, Junyong Zhang. Estimation Method of VIS-NIR Spectroscopy for Soil Organic Matter Based on Sparse Networks[J]. Laser & Optoelectronics Progress, 2020, 57(24): 242803
Category: Remote Sensing and Sensors
Received: Feb. 7, 2020
Accepted: Mar. 6, 2020
Published Online: Nov. 16, 2020
The Author Email: Ding Jianli (watarid@xju.edu.cn)