Identification of mineral components from near-infrared spectra by a neural network.

NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification

Near-infrared (NIR) face recognition has attracted increasing attention because of its advantage of illumination invariance. However, traditional face recognition methods based on NIR are designed for and tested in cooperative-user applications. In this paper, we present a convolutional neural network (CNN) for NIR face recognition (specifically face identification) in non-cooperative-user appl...

Comparative Study of Distance Discriminant Analysis and Bp Neural Network for Identification of Rapeseed Cultivars Using Visible/Near Infrared Spectra

The potential of visible/near infrared spectra as a method of nondestructive discrimination of various rapeseed cultivars was evaluated, discrimination ability of distance discriminant analysis (DDA) and BP neural network (BPNN) for identification of rapeseed cultivars was shown in this article. The spectral curves ranging from 350 to 2500 nm of rapeseed cultivars were obtained by VIS/NIR spect...

Near-Infrared Spectra of Ultraluminous Infrared Galaxies.

Near-infrared spectra with a resolution of lambda&solm0;Deltalambda approximately 1100 in the rest-wavelength range of 1.8-2.2 µm have been obtained for a complete sample of 33 ultraluminous infrared galaxies (ULIRGs). Of the 33 objects observed, two show evidence of a central active galactic nucleus (AGN) through either a broad Paschen-alpha line or emission in the 1.963 µm fine structure of [...

A Comparison of Two Methods for Automated Mineral Detection in Visible/near-infrared Spectra

Inference of Surface Parameters from Near-Infrared Spectra of Crystalline H2O Ice with Neural Learning

The near-infrared spectra of icy volatiles collected from planetary surfaces can be used to infer surface parameters, which in turn may depend on the recent geologic history. The high dimensionality and complexity of the spectral data, the subtle differences between the spectra, and the highly nonlinear interplay between surface parameters make it often difficult to accurately derive these surf...