RT Conference_Proceedings
T1 Exploring the Registration of Remote Sensing Images using HSI-KAZE in Graphical Units
A1 Ordóñez Iglesias, Álvaro
A1 Blanco Heras, Dora
A1 Argüello Pedreira, Francisco
K1 Image registration
K1 Hyperspectral data
K1 KAZE features
K1 Remote sensing
K1 CUDA
K1 GPU
AB Registration of hyperspectral remote sensing images is a common task in many image processing applications such as land use classification, environmental monitoring and change detection. The images to be registered present differences as a consequence of being obtained from different points of view, differences in the number of spectral bands captured by the sensors, in illumination and intensity, and also changes in the objects present in the images, among others. Feature-based methods as HSI-KAZE are more efficient at registering than area-based methods when the images are very rich in geometrical details, as it is the case for remote sensing images. But they present, nevertheless, the problem of being computationally more costly because the number of distinctive points to be calculated for these images is high. HSI-KAZE is a method to register hyperspectral remote sensing images based on KAZE features but considering the spectral information. In this work, a robust and efficient implementation of this method on programmable GPUs is presented
YR 2019
FD 2019
LK http://hdl.handle.net/10347/26959
UL http://hdl.handle.net/10347/26959
LA eng
NO Computational and Mathematical Methods in Science and Engineering (CMMSE), Rota, Cadiz, Spain, 30 June - 6 July 2019 (Session I, Part 5)
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 co-funded by the European Regional Development Fund (ERDF). The work of Álvaro Ordóñez was also supported by Ministerio de Ciencia, Innovación y Universidades, Government of Spain, under a FPU Grant [grant numbers FPU16/03537 and EST18/00602]
DS Minerva
RD 28 abr 2026