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The TNO Multiband Image Data Collection.

Alexander Toet1

  • 1TNO, Kampweg 5, 3769DE Soesterberg, The Netherlands.

Data in Brief
|October 17, 2017
PubMed
Summary
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A new TNO Multiband Image Collection offers vital visual, near-infrared, and longwave infrared nighttime imagery. This dataset supports the development of advanced image fusion and target detection algorithms for surveillance.

Area of Science:

  • Computer Vision
  • Remote Sensing
  • Image Processing

Background:

  • Limited availability of registered multi-band image datasets hinders development of fusion algorithms.
  • Existing datasets lack dynamic sequences, crucial for real-world surveillance applications.

Purpose of the Study:

  • To introduce the TNO Multiband Image Collection, addressing the scarcity of public multi-band image data.
  • To provide a comprehensive dataset for evaluating image fusion, target detection, and recognition algorithms.

Main Methods:

  • Collection of intensified visual (390-700 nm), near-infrared (700-1000 nm), and longwave infrared (8-12 µm) nighttime imagery.
  • Acquisition of data across diverse military and surveillance scenarios, including various backgrounds and targets.
Keywords:
Color fusionColor mappingFalse colorFusionImage fusionNight visionRealtime

Related Experiment Videos

Main Results:

  • The TNO Multiband Image Collection is now publicly available.
  • The dataset includes static and dynamic imagery suitable for various algorithm development.

Conclusions:

  • The TNO Multiband Image Collection is a valuable resource for advancing multi-band image fusion and surveillance technologies.
  • This dataset will facilitate research in areas such as color fusion, multispectral target detection, and dim target detection.