Automated classification of visible and infrared spectra using cluster analysis

Feature Point Descriptors: Infrared and Visible Spectra

This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using a state of the art framework. Experimental results using a cross-spectral outdoor image data set...

Cluster analysis of infrared spectra of repaired articular cartilage

INTRODUCTION Articular cartilage (AC) has a low ability to heal itself after degradation [1]. To evaluate the success of healing, changes in the composition and structure of AC can be investigated at the microscopical level. Fourier transform infrared microspectroscopy (FTIR-MS) is sensitive and nondestructive technique allowing spatial determination of chemical and structural composition of ti...

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

Visible to near infrared emission spectra of electron-excited H2

H2 is the most abundant molecule in the universe and is an active component of star formation. Inside dense molecular clouds, heating and ionization occur by cosmic rays, X-rays and shock waves, generating energetic electrons. Collisional excitation by electrons is the source of both UV and Visible-optical-IR (VOIR) H2 fluorescence in the ISM, circumstellar disks and certain classes of stars [1...

Visible/Near-Infrared Spectra of Experimentally Shocked Plagioclase Feldspars

Introduction: Minerals subjected to high shock pressures exhibit structural changes with increasing pressure (e.g., fractures, deformations, formation of diaplectic glass, and complete melting [1-6]). Petrologic and thermal infrared spectroscopic studies have shown that diaplectic glass (maskelynite) formation in feldspars occurs between ~25-45 GPa, while significant melting occurs above ~45 GP...