Paper
6 November 2023 Aerospace multispectral detection and material feature recognition technology
Zhongxiu Xiong, Huilin Jiang, Yong Tan, Yiwu Zhao
Author Affiliations +
Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 1292136 (2023) https://doi.org/10.1117/12.2691533
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia
Abstract
Currently, airborne multispectral cameras, represented by developed countries such as the United States and Israel, have been applied. Airborne multispectral detection technology is affected by long-distance and strong interference, and the obtained multispectral images are different from existing near-field research results in feature recognition, which poses direct application difficulties. This paper studies the limitations of airborne multispectral imaging detection and relevant multispectral image processing and reconstruction algorithms, then introduce a device to get target/background spectral characteristics, and finally the target material feature recognition method.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhongxiu Xiong, Huilin Jiang, Yong Tan, and Yiwu Zhao "Aerospace multispectral detection and material feature recognition technology", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 1292136 (6 November 2023); https://doi.org/10.1117/12.2691533
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KEYWORDS
Target recognition

Image fusion

Multispectral imaging

Target detection

Image processing

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