Paper Info
Title
Analysis Of Noise Impact On Geo-Object Recognition In Infrared Bands Using Simulated Data
Abstract
Infrared spectrums play an important role in the information extraction of rock and minerals. Spectrum simulation is a fundamental issue of land surface scene simulation and image simulation of remote sensing systems. Signal to Noise Ratio is regarded as an essential parameter of instrument and remote sensing image. In this study, we used MODTRAN to simulate apparent radiance and different levels of additive white Gaussian noise was added to the simulated spectrum. In the section of noise impact on object recognition, Spectral Feature Fitting was chosen to compare the fit of simulated spectra with different noise levels to reference apparent radiance spectra without noise. Relative error is also calculated for the accuracy assessment which is helpful for validation and improvement of instrument parameters.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Infrared, Spectrum simulation, SNR, NETD
Field
DocType
ISSN
MODTRAN,Computer vision,Computer science,Remote sensing,Signal-to-noise ratio,Atmospheric model,Image noise,Artificial intelligence,Additive white Gaussian noise,Radiance,Approximation error,Cognitive neuroscience of visual object recognition
Conference
2153-6996
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Dandan Wei100.34
Fuping Gan200.68
Zhenhua Zhang300.34
Chenchao Xiao411.02
Huijie Zhao55617.39
Xianfei Qiu601.69
Jia Guorui785.41