Title
The TNO Multiband Image Data Collection
Author
Toet, A.
Publication year
2017
Abstract
Despite of the ongoing interest in the fusion of multi-band images for surveillance applications and a steady stream of publications in this area, there is only a very small number of static registered multi-band test images (and a total lack of dynamic image sequences) publicly available for the development and evaluation of image fusion algorithms. To fill this gap, the TNO Multiband Image Collection provides intensified visual (390–700 nm), near-infrared (700–1000 nm), and longwave infrared (8–12 µm) nighttime imagery of different military and surveillance scenarios, showing different objects and targets (e.g., people, vehicles) in a range of different (e.g., rural, urban) backgrounds. The dataset will be useful for the development of static and dynamic image fusion algorithms, color fusion algorithms, multispectral target detection and recognition algorithms, and dim target detection algorithms. © 2017 The Authors
Subject
Image fusion
Color fusion
False color
Color mapping
Realtime
Fusion
Night vision
Human & Operational Modelling
PCS - Perceptual and Cognitive Systems
ELSS - Earth, Life and Social Sciences
To reference this document use:
http://resolver.tudelft.nl/uuid:5823e524-754a-4e3f-9882-46cd125d6441
DOI
https://doi.org/10.1016/j.dib.2017.09.038
TNO identifier
781185
Publisher
Elsevier Inc.
ISSN
2352-3409
Source
Data in Brief, 15 (15), 249-251
Document type
article