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In search of an optimum sampling algorithm for prediction of soil properties from infrared spectra

机译：寻找最佳采样算法，用于预测红外光谱的土壤性质

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Wartini Ng; Budiman Minasny; Brendan Malone; Patrick Filippi;
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1. Prediction of soil properties with machine learning models based on the spectral response of soil samples in the near infrared range [J] . Stanis?aw Gruszczyński Roczniki Gleboznawcze . 2019,第4期

机译：基于近红外范围内土壤样品光谱响应的机器学习模型预测土壤特性
2. Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra [J] . Ng Wartini, Minasny Budiman, Montazerolghaem Maryam, Geoderma: An International Journal of Soil Science . 2019,第期

机译：卷积神经网络，用于使用可见/近红外线，中红外线及其组合光谱来同时预测几种土壤性质
3. Improvement in spectral library-based quantification of soil properties using representative spiking and local calibration - The case of soil inorganic carbon prediction by mid-infrared spectroscopy [J] . Geoderma: An International Journal of Soil Science . 2020,第期

机译：基于光谱库的土壤性能量化的改进，使用代表性尖峰和局部校准 - 中红外光谱法的土壤无机碳预测的情况
4. Prediction of common surface soil properties using airborne and simulated EnMAP hyperspectral images: Impact of soil algorithm and sensor characteristic [C] . Chabrillat Sabine, Foerster Saskia, Steinberg Andreas, IEEE International Geoscience and Remote Sensing Symposium . 2014

机译：使用机载和模拟的EnMAP高光谱图像预测常见表面土壤性质：土壤算法和传感器特性的影响
5. Performance Prediction of Hyperspectral Target Detection Algorithms via Importance Sampling [D] . Loughlin, Cooper. 2018

机译：基于重要性采样的高光谱目标检测算法性能预测
6. In search of an optimum sampling algorithm for prediction of soil properties from infrared spectra [O] . Wartini Ng, Budiman Minasny, Brendan Malone, -1

机译：寻找一种最佳采样算法根据红外光谱预测土壤性质
7. Prediction of soil properties for agricultural and environmental applications from infrared and X-ray soil spectral properties [O] . Towett Erick Kibet 2013

机译：从红外和X射线土壤光谱特性预测农业和环境应用的土壤特性

In search of an optimum sampling algorithm for prediction of soil properties from infrared spectra

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