MLRPCRPLSRStepwise regressionVisible and near-infrared reflectance spectroscopy based soil properties estimation is an alternative to traditional laboratory analysis. The calibration model is a main factor influencing predictive performance. In this study,a large scale soil database, which contains 19,036 ...
Near-infrared-visible (NIR-VIS) heterogeneous face recognition matches NIR to corresponding VIS face images. However, due to the sensing gap, NIR images often lose some identity information so that the NIR-VIS recognition issue is more difficult than conventional VIS face recognition. Recently, NIR...
The respective test dataset (30%) was then used to assess classification accuracies across all imagery. A confusion matrix was generated from the SVM process and user and producer accuracies used to quantify the reliability of the resultant Bramble spatial cover maps. In a confusion matrix, ...
Qi, LinZhang, ChaoFei, TengNongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural EngineeringChen, Y.; Qi, T.; Huang, Y.; Wan, Y.; Zhao, R.; Qi, L.; Zhang, C.; Fei, T. Optimization method of calibration dataset for VIS-NIR spectral inversion model of soil ...
The calibration model is a main factor influencing predictive performance. In this study, a large scale soil database, which...Shi, YangWang, RujingWang, YubingSpringer, Cham
In the system of hyperspectral measurements, three factors influence the data acquisition: the scene (the observable space in front of the spectrometer), the sensor system, and the processing system [36]. Portable devices allow for satisfying results from VIS-NIR spectra as well [28]. ...
They used color RGB and near-infrared (NIR) modalities for sweet pepper detection and the precision and recall performances improved from 0.807 to 0.838 [16]. Henten et al. focused on the individual hardware and software components of the robot, including the autonomous vehicle, the manipulator,...