Scale transfer learning of hyperspectral prediction model of heavy metal content in maize: From laboratory to satellite-Reference-Cited by-同舟云学术

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Scale transfer learning of hyperspectral prediction model of heavy metal content in maize: From laboratory to satellite

Published:2023-04-18 Issue:8 Volume:44 Page:2590-2610
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Li Yanru¹^ORCID,Yang Keming¹^ORCID,Zhao Hengqian¹

Affiliation:

1. College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing, China

Funder

Science & Technology Fundamental Resources Investigation Program

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2204199

Reference51 articles.

1. Efficient elimination of environmental pollutants through sorption-reduction and photocatalytic degradation using nanomaterials

2. Ore mineral discrimination using hyperspectral remote sensing—a field-based spectral analysis

3. Elimination of Uninformative Variables for Multivariate Calibration

4. Towards decomposing the effects of foliar nitrogen content and canopy structure on rice canopy spectral variability through multi-scale spectral analysis

5. Evaluation of spectral scale effects in estimation of vegetation leaf area index using spectral indices methods

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Monitoring Heavy Metals and Metalloids in Soils and Vegetation by Remote Sensing: A Review;Remote Sensing;2024-08-30

2. Hyperspectral Inversion of Soil Cu Content in Agricultural Land Based on Continuous Wavelet Transform and Stacking Ensemble Learning;2024

3. Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review;Plant Phenomics;2023-01

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