RT Book,_Section
T1 Exploring the MSER-based hyperspectral remote sensing image registration
A1 Ordóñez Iglesias, Álvaro
A1 Blanco Heras, Dora
A1 Argüello Pedreira, Francisco
K1 image registration
K1 remote sensing
K1 hyperspectral
K1 MSER
AB Image registration is an essential preprocessing task in many applications of hyperspectral images capturing the Earth surface. Maximally Stable Extremal Regions (MSER) is a feature–based method for image registration which extracts regions by thresholding the image at different grey levels. Its invariance to affine transformations makes it ideal for image registration. This method is usually employed in text detection and recognition as well as in the medical domain. Hyperspectral images contain spectral information that can be used for improving the image alignment. This article presents a first approach to a hyperspectral remote sensing image registration method based on MSER that efficiently exploits the information contained in the different spectral bands. The experimental results over four hyperspectral images show that the proposed method is promising as it achieves a higher number of correct registration cases than other feature–based methods.
PB SPIE
SN 9781510638792
SN 0277-786X
YR 2020
FD 2020-09-20
LK http://hdl.handle.net/10347/32830
UL http://hdl.handle.net/10347/32830
LA eng
NO Álvaro Ordóñez, Dora B. Heras, Francisco Argüello, "Exploring the MSER-based hyperspectral remote sensing image registration," Proc. SPIE 11533, Image and Signal Processing for Remote Sensing XXVI, 115330E (20 September 2020); doi: 10.1117/12.2574200
NO PID2019-104834GB-I00 ED431C 2018/19 2019-2022 ED431G-2019/04 FPU16/03537
DS Minerva
RD 28 abr 2026