
Proceedings Paper
Three-dimensional hyperspectral imaging techniqueFormat | Member Price | Non-Member Price |
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Paper Abstract
Hyperspectral remote sensing based on unmanned airborne vehicles is a field increasing in importance. The combined functionality of simultaneous hyperspectral and geometric modeling is less developed. A configuration has been developed that enables the reconstruction of the hyperspectral three-dimensional (3D) environment. The hyperspectral camera is based on a linear variable filter and a high frame rate, high resolution camera enabling point-to-point matching and 3D reconstruction. This allows the information to be combined into a single and complete 3D hyperspectral model. In this paper, we describe the camera and illustrate capabilities and difficulties through real-world experiments.
Paper Details
Date Published: 5 May 2017
PDF: 10 pages
Proc. SPIE 10198, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII, 1019805 (5 May 2017); doi: 10.1117/12.2262456
Published in SPIE Proceedings Vol. 10198:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII
Miguel Velez-Reyes; David W. Messinger, Editor(s)
PDF: 10 pages
Proc. SPIE 10198, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII, 1019805 (5 May 2017); doi: 10.1117/12.2262456
Show Author Affiliations
Jörgen Ahlberg, Linköping Univ. (Sweden)
Glana Sensors AB (Sweden)
Ingmar G. Renhorn, Glana Sensors AB (Sweden)
Renhorn IR Consultant AB (Sweden)
Tomas R. Chevalier, Scienvisic AB (Sweden)
Glana Sensors AB (Sweden)
Ingmar G. Renhorn, Glana Sensors AB (Sweden)
Renhorn IR Consultant AB (Sweden)
Tomas R. Chevalier, Scienvisic AB (Sweden)
Joakim Rydell, FOI-Swedish Defence Research Agency (Sweden)
David Bergström, FOI-Swedish Defence Research Agency (Sweden)
David Bergström, FOI-Swedish Defence Research Agency (Sweden)
Published in SPIE Proceedings Vol. 10198:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII
Miguel Velez-Reyes; David W. Messinger, Editor(s)
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