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  4. A unified hyperspectral imaging data format for cloud-based analysis and visualization
 
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2026
Conference Paper
Title

A unified hyperspectral imaging data format for cloud-based analysis and visualization

Abstract
We propose a new hyperspectral imaging data format based on the ENVI1 standard, enhanced for cloud-based applications. The format centralizes metadata in an extended ENVI header and supports diverse auxiliary files for ML, calibration, and visualization. It is packaged in an uncompressed ZIP container for robust data exchange and internally supports optional advanced compression algorithms. We discuss tools and use cases, harmonization with the new IEEE 4001 standard and prepare integration in a cloud-based spectral data processing infrastructure.
Author(s)
Becker, Stephan
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Melcher, Steven
PVA VISION GMBH
Polk, Christoph  
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Wollmann, Philipp
PVA VISION GMBH
Peller, Joseph
Wageningen University & Research
Bourgos, Paraskevas
NETCOMPANY S.A.
Gousetis, Nikolaos
NETCOMPANY S.A.
Grigoropoulos, Athanasios
NETCOMPANY S.A.
Hartmann, Peter  
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Kabardiadi-Virkovski, Alexander  
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Golde, Jonas  orcid-logo
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Mainwork
Photonic Instrumentation Engineering XIII  
Conference
Conference "Photonic Instrumentation Engineering" 2026  
Open Access
DOI
10.1117/12.3081772
Additional link
Full text
Language
English
Fraunhofer-Institut für Werkstoff- und Strahltechnik IWS  
Keyword(s)
  • cloud platform

  • data standard

  • ENVI format

  • Hyperspectral imaging

  • machine learning

  • semantic segmentation

  • spectral data compression

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