Surf-Based Registration for Hyperspectral Images
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Título: | Surf-Based Registration for Hyperspectral Images |
Autor/a: | Ordóñez Iglesias, Álvaro Blanco Heras, Dora Argüello Pedreira, Francisco Santiago |
Centro/Departamento: | Universidade de Santiago de Compostela. Centro de Investigación en Tecnoloxías da Información Universidade de Santiago de Compostela. Departamento de Electrónica e Computación |
Palabras chave: | Hyperspectral data | Remote sensing | Registration | SURF features | Feature extraction | |
Data: | 2019 |
Editor: | IEEE |
Cita bibliográfica: | IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019, pp. 63-66. doi: 10.1109/IGARSS.2019.8900462 |
Resumo: | 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. |
Versión do editor: | https://doi.org/10.1109/IGARSS.2019.8900462 |
URI: | http://hdl.handle.net/10347/26955 |
DOI: | 10.1109/IGARSS.2019.8900462 |
ISBN: | 978-1-5386-9154-0 |
ISSN: | 2153-7003 |
Dereitos: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works |