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	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：74/0 \| 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
	Driving techniques for high frame rate CCD camera (EI CONFERENCE) 会议论文 OAI收割 Electronic Imaging and Multimedia Technology V, November 12, 2007 - November 15, 2007, Beijing, China Guo W.; Jin L.; Xiong J. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 This paper describes a high-frame rate CCD camera capable of operating at 100 frames/s. This camera utilizes Kodak KAI-0340 an interline transfer CCD with 640(vertical)480(horizontal) pixels. Two output ports are used to read out CCD data and pixel rates approaching 30 MHz. Because of its reduced effective opacity of vertical charge transfer registers interline transfer CCD can cause undesired image artifacts such as random white spots and smear generated in the registers. To increase frame rate a kind of speed-up structure has been incorporated inside KAI-0340 then it is vulnerable to a vertical stripe effect. The phenomena which mentioned above may severely impair the image quality. To solve these problems some electronic methods of eliminating these artifacts are adopted. Special clocking mode can dump the unwanted charge quickly then the fast readout of the images cleared of smear follows immediately. Amplifier is used to sense and correct delay mismatch between the dual phase vertical clock pulses the transition edges become close to coincident so vertical stripes disappear. Results obtained with the CCD camera are shown.
	Realization of image smear compensation for multi-mode airborne digital camera system - art. no. 67891U 会议论文 OAI收割 Mippr 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, Bellingham Liu, Xue; Zhang, Wenjuan; Fang, Junyong; Wei, Zheng; Zhang, Bing; Zheng, Lanfen; Tong, Qingxi 收藏 \| 浏览/下载：21/0 \| 提交时间：2014/12/07 multi-mode digital camera image smear compensation aerial photography image processing MOTION COMPENSATION
	Small Moving Target Recognition in Star Image with TRM 期刊论文 OAI收割 International Journal of Pattern Recognition and Artificial Intelligence 作者: Du, Yun; Wen, Desheng; Liu, Guizhong; Qiu, Shi \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2020/11/16 star image with TRM Smear e®ect detection and recognition moving target standard deviational ellipse