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Registered HYPERSPECTRAL IMAGING SYSTEM USING NEURAL NETWORK

Inventors
Keo Sik Kim, Kim Jeong Eun, Kyeeun Kim, Kang Hyun Seo, Yeo Chan Il, Hyoungjun Park, Min Gi Hyeon, Hyunjin Kim, Heo Young Soon, Park Si Woong
Application No.
17571235 (2022.01.07)
Publication No.
20220221342 (2022.07.14)
Registration No.
11976975 (2024.05.07)
Country
UNITED STATES
Project Code
20ZK1100, Honam region regional industry-based ICT convergence technology advancement support project, Lee Gil Haeng
Abstract
Provided is an optical system which may acquire a hyperspectral image by acquiring a spectral image of an object to be measured, which includes, to collect spectral data and train the neural network, an image forming part forming an image from an object to be measured and transmitting collimated light, a slit moving to scan the incident image and passing and outputting a part of the formed image, and a first optical part obtaining spectral data by splitting light of the image received through the slit by wavelength. Also, the system includes, to decompose overlapped spectral data and to infer hyperspectral image data through the trained neural network, an image forming part forming an image from an object to be measured and transmitting collimated light, and a first optical part obtaining spectral data by splitting light of the received image by wavelength.
KSP Keywords
Hyperspectral Image, Hyperspectral imaging, Hyperspectral imaging system, Image data, Spectral image, collimated light, imaging system, neural network, optical system, spectral data