RT Book,_Section
T1 Surf-Based Registration for Hyperspectral Images
A1 Ordóñez Iglesias, Álvaro
A1 Blanco Heras, Dora
A1 Argüello Pedreira, Francisco
K1 Hyperspectral data
K1 Remote sensing
K1 Registration
K1 SURF features
K1 Feature extraction
AB The alignment of images, also known as registration, is a relevant task in the processing of hyperspectral images. Among the feature-based registration methods, Speeded Up Robust Features (SURF) has been proposed as a computationally efficient approach. In this paper HSI–SURF is proposed. This is a method to  register hyperspectral remote sensing images based on SURF that takes advantage of the full spectral information of the images. In this sense, the proposed method selects specific bands of the images and adapts the keypoint descriptor and the matching stages to benefit from the spectral information, thus increasing the effectiveness of the registration.
PB IEEE
SN 978-1-5386-9154-0
SN 2153-7003
YR 2019
FD 2019
LK http://hdl.handle.net/10347/26955
UL http://hdl.handle.net/10347/26955
LA eng
NO IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019, pp. 63-66. doi: 10.1109/IGARSS.2019.8900462
NO This work was supported in part by the Consellería de Educación, Universidade e Formación Profesional [grant numbers GRC2014/008, ED431C 2018/19, and ED431G/08] and Ministerio de Economía y Empresa, Government of Spain [grant number TIN2016-76373-P] and by Junta de Castilla y Leon - ERDF (PROPHET Project) [grant number VA082P17]. All are cofunded by the European Regional Development Fund (ERDF). The work ofAlvaro Ordóñez was also supported by the Ministerio de Ciencia, Innovación y Universidades, Government of Spain, under a FPU Grant [grant number FPU16/03537]
DS Minerva
RD 28 abr 2026