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Proceedings Paper

Self-synchronized fast reflectance acquisition
Author(s): Dongsheng An; Jinli Suo; Haoqian Wang; Qionghai Dai
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Paper Abstract

The hyper-spectrum data exhibits the structure, materials, and semantic meaning of a nature scene and its fast acquisition is of great importance due to its potential for parse these properties of dynamic scenes. Targeting for high speed hyperspectrum imaging of a nature scene, this paper proposes to capture the coded hyper-spectrum reflectance of a nature scene using low cost hardware and reconstruct the latent data using a corresponding decoding algorithm. Except for a wide spectrum light source, the imaging system includes mainly a commercially available projector color wheel and a high speed camera, which work at their own constant periods and are self-synchronized by our algorithm. The introduced light source and color wheel cost less than 50 dollars and makes the proposed approach widely available. The results on the data captured by our prototype system show that, the proposed approach can reconstruct the high precision hyper-spectrum data at real time.

Paper Details

Date Published: 13 November 2014
PDF: 6 pages
Proc. SPIE 9279, Real-time Photonic Measurements, Data Management, and Processing, 92790X (13 November 2014); doi: 10.1117/12.2073845
Show Author Affiliations
Dongsheng An, Tsinghua Univ. (China)
Jinli Suo, Tsinghua Univ. (China)
Haoqian Wang, Graduate School at Shenzhen, Tsinghua Univ. (China)
Qionghai Dai, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 9279:
Real-time Photonic Measurements, Data Management, and Processing
Bahram Jalali; Ming Li; Keisuke Goda; Mohammad Hossein Asghari, Editor(s)

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