RT Journal Article
T1 Fourier–Mellin registration of two hyperspectral images
A1 Ordóñez Iglesias, Álvaro
A1 Argüello Pedreira, Francisco
A1 Blanco Heras, Dora
K1 Hyperspectral data
K1 Image registration
K1 Fourier transform
K1 Feature extraction
K1 Remote sensing
AB Hyperspectral images contain a great amount of information which can be used to more robustly register such images. In this article, we present a phase correlation method to register two hyperspectral images that takes into account their multiband structure. The proposed method is based on principal component analysis, the multilayer fractional Fourier transform, a combination of log-polar maps, and peak processing. The combination of maps is aimed at highlighting some peaks in the log-polar map using information from different bands. The method is robust and has been successfully tested for any rotation angle with commonly used hyperspectral scenes in remote sensing for scales of up to 7.5× and with pairs of hyperspectral images taken on different dates by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) sensor for scales of up to 6.0×
PB Taylor & Francis
SN 0143-1161
YR 2017
FD 2017-03-21
LK http://hdl.handle.net/10347/17879
UL http://hdl.handle.net/10347/17879
LA eng
NO Ordóñez, Á., Argüello, F., & Heras, D. (2017). Fourier–Mellin registration of two hyperspectral images. International Journal Of Remote Sensing, 38(11), 3253-3273. doi: 10.1080/01431161.2017.1292071
NO This work was supported in part by the Consellería de Cultura, Educación e Ordenación Universitaria [grant numbers GRC2014/008 and ED431G/08] and Ministry of Education, Culture and Sport, Government of Spain [grant numbers TIN2013-41129-P and TIN2016-76373-P] both are co-funded by the European Regional Development Fund (ERDF)
DS Minerva
RD 23 abr 2026