研究论文
Estimation of the distribution patterns of heavy metal in soil from airborne hyperspectral imagery based on spectral absorption characteristics
Kun Tan, Lihan Chen, Huimin Wang, Zhaoxian Liu, Jianwei Ding, Xue Wang
East China Normal University China University of Mining and Technology
来源Journal of Environmental Management
年份2023
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31
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3.97
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学术脉络
学科主题
计算机 / AIGeochemistry and Geologic Mapping
Remote-Sensing Image Classification · Soil Geostatistics and Mapping
参考文献 57
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
被引 2,970Thomas G. Dietterich · Machine Learning · 2000
Using data mining to model and interpret soil diffuse reflectance spectra
被引 1,278Raphael A. Viscarra Rossel, Thorsten Behrens · Geoderma · 2010
Boosting: An Ensemble Learning Tool for Compound Classification and QSAR Modeling
被引 225Vladimir Svetnik, Ting Wang, Christopher Tong · Journal of Chemical Information and Modeling · 2005
此处列出前 3 条
引用本文 31
Inversion of heavy metal content in soil using hyperspectral characteristic bands-based machine learning method
被引 40Zhiyong Zou, Qianlong Wang, Qingsong Wu · Journal of Environmental Management · 2024
A Fusion XGBoost Approach for Large-Scale Monitoring of Soil Heavy Metal in Farmland Using Hyperspectral Imagery
被引 24Xuqing Li, Huitao Gu, Ruiyin Tang · Agronomy · 2025
A hierarchical residual correction-based hyperspectral inversion method for soil heavy metals considering spatial heterogeneity
被引 24Yulong Wang, Bin Zou, Sha Li · Journal of Hazardous Materials · 2024
按被引量排序，此处列出前 3 条