Research on Hyperspectral Modeling of Total Iron Content in Soil Applying LSSVR and CNN Based on Shannon Entropy Wavelet Packet Transform
- DOI
- 10.3390/rs15194681
- Published
- 2023-09-24
- Container
- Remote Sensing
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/rs15194681,
title = {Research on Hyperspectral Modeling of Total Iron Content in Soil Applying LSSVR and CNN Based on Shannon Entropy Wavelet Packet Transform},
author = {Weichao Liu and Hongyuan Huo and Ping Zhou and Mingyue Li and Yuzhen Wang},
year = {2023},
journal = {Remote Sensing},
doi = {10.3390/rs15194681},
url = {https://doi.org/10.3390/rs15194681}
}RIS
TY - JOUR TI - Research on Hyperspectral Modeling of Total Iron Content in Soil Applying LSSVR and CNN Based on Shannon Entropy Wavelet Packet Transform AU - Weichao Liu AU - Hongyuan Huo AU - Ping Zhou AU - Mingyue Li AU - Yuzhen Wang PY - 2023 JO - Remote Sensing DO - 10.3390/rs15194681 UR - https://doi.org/10.3390/rs15194681 ER -
APA
Liu, W., Huo, H., Zhou, P., Li, M., & Wang, Y. (2023). Research on Hyperspectral Modeling of Total Iron Content in Soil Applying LSSVR and CNN Based on Shannon Entropy Wavelet Packet Transform. Remote Sensing. https://doi.org/10.3390/rs15194681
Source records
- crossref · retrieved 2026-11-10T09:42:48.573Z