Hyperspectral Texture Synthesis Using Histogram and Power Spectral Density Matching

Frequency Feature Learning from Vibration Information of GIS for Mechanical Fault Detection

“…Suppose there are two time-domain signals S x ( t ) and S y ( t ), the calculation methods of CF are as follows [38]: (1) calculate Fourier spectrum A x ( f ) and A y ( f ) of S x ( t ) and S y ( t ), respectively; (2) calculate self-power spectral density functions S x ( f ) and S y ( f ), {Sx(f)=Ax(f)Ax∗(f)Sy(f)=Ay(f)Ay∗(f) where A x * ( f ) and A y * ( f ) are the complex conjugation of A x ( f ) and A y ( f ), respectively; (3) calculate the cross power spectral density function, Sxy(f)=Ay(f)Ax∗(f) (4) calculate the CF of S x ( t ) and S y ( t ), Cxy(f)=|Sxyfalse(ffalse)|2Sxfalse(ffalse)Syfalse(ffalse)…”

Foreword to the Special Issue on Hyperspectral Image and Signal Processing

“…Simulation. Simulating realistic hyperspectral data is a very challenging task that is critical to both the design of new sensors and planning of new missions [2]- [4] and in a quantitative assessment of the performance of sensors and processing algorithms [5]. In this special issue, three papers deal with this problem, in different contexts: planetary exploration and Digital Object Identifier 10.1109/TGRS.2010.2085313…”

Foreword to the Special Issue on Hyperspectral Image and Signal Processing

“…Simulation. Simulating realistic hyperspectral data is a very challenging task that is critical to both the design of new sensors and planning of new missions [2]- [4] and in a quantitative assessment of the performance of sensors and processing algorithms [5]. In this special issue, three papers deal with this problem, in different contexts: planetary exploration and Digital Object Identifier 10.1109/TGRS.2010.2085313 the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) instrument [6], simulation of a complex woodland area [7], and simulation of a different sensor from a given spectrum with super spectral resolution [8].…”