Remote Sensing Technology and Application, Volume. 39, Issue 1, 259(2024)
Quantitative Hyperspectral Inversion of Soil Heavy Metals based on Feature Screening Combined with PSO-BPNN and GA-BPNN Algorithms
Fig. 3. Correlation between Cr and Cu content and soil spectral reflectance
Fig. 4. Comparison of model prediction accuracy for Cr and Cu elements
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Yuxin TIAN, Zhenghai WANG, Peng XIE. Quantitative Hyperspectral Inversion of Soil Heavy Metals based on Feature Screening Combined with PSO-BPNN and GA-BPNN Algorithms[J]. Remote Sensing Technology and Application, 2024, 39(1): 259
Category: Research Articles
Received: Jul. 15, 2022
Accepted: --
Published Online: Jul. 22, 2024
The Author Email: TIAN Yuxin (tianyx8@mail2.sysu.edu.cn)