Title
Detection And Correction Of Spectral And Spatial Misregistrations For Hyperspectral Data
Abstract
Hyperspectral imaging sensors suffer from spectral and spatial misregistrations. These artifacts prevent the accurate acquisition of the spectra and thus reduce classification accuracy. The main objective of this work is to detect and correct spectral and spatial misregistrations of hyperspectral images. The Hyperion visible near-infrared (VNIR) subsystem is used as an example. An image registration method using normalized cross-correlation for characteristic lines in spectrum image demonstrates its effectiveness for detection of the spectral and spatial misregistrations. Cubic spline interpolation using estimated properties makes it possible to modify the spectral signatures. The accuracy of the proposed postlaunch estimation of the Hyperion properties has been proven to be comparable to that of the prelaunch measurements, which enables the precise onboard calibration of hyperspectral sensors.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5652919
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
Keywords
Field
DocType
hyperspectral sensor, Hyperion, spectral misregistration, spatial misregistration
VNIR,Computer vision,Full spectral imaging,Spline interpolation,Computer science,Interpolation,Remote sensing,Hyperspectral imaging,Pixel,Artificial intelligence,Spectral signature,Image registration
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Naoto Yokoya143936.36
Norihide Miyamura200.34
akira iwasaki319316.71