Analysis of the Efficiency of Hyperspectral Data Classification under Constraints on the Quantization Bit Depth, the Number of Spectral Channels, and Spatial Resolution-Reference-Cited by-同舟云学术

Analysis of the Efficiency of Hyperspectral Data Classification under Constraints on the Quantization Bit Depth, the Number of Spectral Channels, and Spatial Resolution

Published:2022-06 Issue:3 Volume:58 Page:273-280
ISSN:8756-6990
Container-title:Optoelectronics, Instrumentation and Data Processing
language:en
Short-container-title:Optoelectron.Instrument.Proc.

Author:

Shipko V. V.,Borzov S. M.

Publisher

Allerton Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Link

https://link.springer.com/content/pdf/10.3103/S8756699022030062.pdf

Reference17 articles.

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3. N. Tack, A. Lambrechts, S. Soussan, and L. Haspeslagh, ‘‘A compact, high-speed, and low-cost hyperspectral imager,’’ Proc. SPIE 8266, 82660Q (2012). https://doi.org/10.1117/12.908172

4. B. Geelen, N. Tack, and A. Lambrechts, ‘‘A snapshot multispectral imager with integrated, tiled filters and optical duplication,’’ Proc. SPIE 8613, 861314 (2013). https://doi.org/10.1117/12.2004072

5. N. Gat, ‘‘Imaging spectroscopy using tunable filters: A review,’’ Proc. SPIE 4056, 50–64 (2000). https://doi.org/10.1117/12.381686

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