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	Wild Animal Information Collection Based on Depthwise Separable Convolution in Software Defined IoT Networks 期刊论文 OAI收割 ELECTRONICS, 2021, 卷号: 10, 期号: 17, 页码: 16 作者: Cao, Qinghua; Yu, Lisu; Wang, Zhen; Zhan, Shanjun; Quan, Hao \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2021/12/01 information collection internet of things deep neural network SDN object detection
	The Design of the Integration Multifunction Terminal for Health Management Based on Android System 会议论文 OAI收割 2015 Joint International Mechanical, Electronic and Information Technology Conference (JIMET 2015), Chongqing, China, December 18-20, 2015 作者: Ye D(叶鼎); Shi G(石刚); Liu B(刘博) 收藏 \| 浏览/下载：23/0 \| 提交时间：2015/12/19 Health Information Collection Terminal Android System Intelligent Medical and Chronic Management
	机构合作的科研生产力观测—对灰色文献的文献计量与内容分析实证研究期刊论文 OAI收割图书情报工作, 2011, 卷号: 55, 期号: 12, 页码: 61-64 作者: 顾立平; 顾立平收藏 \| 浏览/下载：31/0 \| 提交时间：2011/12/02 合作馆藏资源共享经济政策产业情报信息交流 Collaborative collection Resources sharing Economic policy Industry information Information Communication
	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：75/0 \| 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