Presentation + Paper
5 May 2017 Three-dimensional hyperspectral imaging technique
Author Affiliations +
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.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jörgen Ahlberg, Ingmar G. Renhorn, Tomas R. Chevalier, Joakim Rydell, and David Bergström "Three-dimensional hyperspectral imaging technique", Proc. SPIE 10198, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII, 1019805 (5 May 2017); https://doi.org/10.1117/12.2262456
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Cameras

3D modeling

Sensors

3D image processing

Staring arrays

Optical filters

Hyperspectral imaging

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