Hyperspectral Data Cleaning Towards Camouflage Detection

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00564787" target="_blank" >RIV/60162694:G43__/26:00564787 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=11061248" target="_blank" >http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=11061248</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICMT65201.2025.11061355" target="_blank" >10.1109/ICMT65201.2025.11061355</a>

Result language
angličtina
Original language name
Hyperspectral Data Cleaning Towards Camouflage Detection
Original language description
Hyperspectral imaging (HSI) is a powerful technique for remote sensing, offering detailed spectral information beyond conventional RGB imaging. This paper presents a method for acquiring and processing hyperspectral data to enhance its applicability in deep learning analysis. We explore visualization strategy under controlled experimental conditions. A key contribution of this study is the introduction of three evaluation criteria: entropy, correlation, and Jaccard score for assessing band pertinence during pre-processing. These criteria help optimize data selection by filtering out noisy or redundant spectral bands, thereby improving the efficiency and accuracy of subsequent analysis. Our results demonstrate that strategic band selection enhances camouflage detection in military and security applications, particularly by leveraging the hyperspectral differentiation of natural and artificial materials. The proposed methodology streamlines hyperspectral data processing, making it more effective for integration with artificial neural networks in various domains, including surveillance, environmental monitoring, and target
Czech name
—
Czech description
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Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2025 10th International Conference on Military Technologies, ICMT 2025 - Proceedings
ISBN
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ISSN
2996-4474
e-ISSN
—
Number of pages
7
Pages from-to
1-7
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Brno
Event location
Brno, Czech Republic
Event date
May 27, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001545807300094

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