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	Optical system design of dual-band observation and imaging 会议论文 OAI收割 Beijing, China, 2019-07-07 作者: Hou, Pan; Zhu, Qing; Li, Ruichang; Ma, Zhanpeng \| 收藏 \| 浏览/下载：45/0 \| 提交时间：2020/03/04 optical design Dual-band integrative optical system visible light SWIR imaging
	Evaluation of growth characteristics of Aspergillus parasiticus inoculated in different culture media by shortwave infrared (SWIR) hyperspectral imaging 期刊论文 OAI收割 JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2018, 卷号: 11, 期号: 5, 页码: 1850031 作者: Chu, Xuan; Wang, Wei; Ni, Xinzhi; Zheng, Haitao; Zhao, Xin \| 收藏 \| 浏览/下载：104/0 \| 提交时间：2019/09/24 Aspergillus parasiticus growth characteristics characteristic wavelengths shortwave infrared (SWIR) hyperspectral imaging
	Level 0 and level 1 data processing for a type of hyper-spectral imager (EI CONFERENCE) 会议论文 OAI收割 2009 International Conference on Optical Instruments and Technology, OIT 2009, October 19, 2009 - October 21, 2009, Shanghai, China Li X.; Yan C. 收藏 \| 浏览/下载：79/0 \| 提交时间：2013/03/25 Hyper-spectral imaging (HSI) is a kind of optical remote sensor that can simultaneously obtain spatial and spectral information of ground targets. We are now designing a data processing system for a type of space-borne push-broom HSI then it performs radiometric and spectral calibration based on the ground calibration results and onboard calibration collection. The detailed algorithms for bad pixel replacement which has 128 spectral channels covering the spectral range from 400nm to 2500nm. With its large amount of spectral channels radiometric and spectral calibration were presented. After processing the HSI collects large volume of spectral imaging data need to be efficiently and accurately processed and calibrated. In this paper the digital numbers downlinked from the spacecraft can be converted into at-sensor absolute spectral radiance of ground targets the detailed Level 0 and Level 1 data processing steps for the HSI were presented. The Level 0 processing refers to a set of tasks performed on the data downlinked from the spacecraft thus providing accurate quantified spectral imaging data for various applications. 2009 SPIE. including decoding to extract science data separating the science data into files corresponding to different tasks (e.g. ground imaging dark imaging and onboard calibration) checking data integrity and instrument settings data format conversion and Level 0 files creation. The Level 1 processing performs several steps on Level 0 data. Firstly it corrects the image artifacts (mostly the SWIR smear effect) subtracts the dark background and performs the bad pixel replacement according to the prelaunch measurement