Optical System Design and Image Processing for Hyperspectral Imaging Systems
Ayoung Heo, Seungwon Choi, Jaehoon Lee, Tae-Hyeong Kim, Dong-Jo Park
Abstract
Ayoung Heo, Seungwon Choi, Jaehoon Lee, Tae-Hyeong Kim, Dong-Jo Park
Abstract
A hyperspectral imaging spectrometer has shown significant advantages in performance over other existing ones for remote sensing applications. It can collect hundreds of narrow, adjacent spectral bands for each image, which provides a wealth of information on unique spectral characteristics of objects. We have developed a compact hyperspectral imaging system that successively shows high spatial and spectral resolutions and fast data processing performance. In this paper, we present an overview of the hyperspectral imaging system including the strucure of geometrical optics and several image processing schemes such as wavelength calibration and noise reduction for image data on Visible and Near-Infrared(VNIR) and Shortwave-Infrared(SWIR) band.
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A hyperspectral imaging spectrometer has shown significant advantages in performance over other existing ones for remote sensing applications. It can collect hundreds of narrow, adjacent spectral bands for each image, which provides a wealth of information on unique spectral characteristics of objects. We have developed a compact hyperspectral imaging system that successively shows high spatial and spectral resolutions and fast data processing performance. In this paper, we present an overview of the hyperspectral imaging system including the strucure of geometrical optics and several image processing schemes such as wavelength calibration and noise reduction for image data on Visible and Near-Infrared(VNIR) and Shortwave-Infrared(SWIR) band.
Key concepts: Hyperspectral imaging, VNIR, Full spectral imaging, Imaging spectrometer, Remote sensing, Computer science, Image processing, Spectral imaging