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• OAI收割 [29]

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• 会议论文 [22]
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• 2022 [1]
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浏览/检索结果: 共29条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Application of Time-Domain Airborne Electromagnetic Method to the Study of Qingchengzi Ore Concentration Area in China 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 19, 页码: 14 作者:  Fu, Changmin;  Di, Qingyun;  Lei, Da;  Wang, Xiaotian;  Zhang, Yilang   |  收藏  |  浏览/下载：17/0  |  提交时间：2023/04/03 airborne EM  data acquisition  data processing  electromagnetic method   Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm 期刊论文  OAI收割 RESOURCES POLICY, 2021, 卷号: 74, 页码: 10 作者:  Du, Pei;  Guo, Ju'e;  Sun, Shaolong;  Wang, Shouyang;  Wu, Jing   |  收藏  |  浏览/下载：65/0  |  提交时间：2022/04/02 Metal prices forecasting  Data processing method  Optimized extreme learning machine  Hybrid forecasting model   Method for quick DNA barcode reference library construction 期刊论文  OAI收割 ECOLOGY AND EVOLUTION, 2021, 卷号: 11, 期号: 17, 页码: 11627-11638 作者:  Liu, Yanlei;  Xu, Chao;  Sun, Yuzhe;  Chen, Xun;  Dong, Wenpan   |  收藏  |  浏览/下载：18/0  |  提交时间：2023/02/24 Cotu  data processing method  DNA barcode  next-generation sequencing   Data processing and initial results from the CE-3 Extreme Ultraviolet Camera 期刊论文  OAI收割 RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2014, 卷号: 14, 期号: 12, 页码: 1664-1673 作者:  Feng, Jian-Qing;  Liu, Jian-Jun;  He, Fei;  Yan, Wei;  Ren, Xin 收藏  |  浏览/下载：51/0  |  提交时间：2016/11/30 space vehicles: instruments: Extreme Ultraviolet Camera  Earth: plasmasphere  method: data processing   Reconstructing light curves from HXMT imaging observations 期刊论文  OAI收割 Proceedings of the International Astronomical Union, 2014, 卷号: 10, 期号: 306, 页码: 355-358 作者:  Huo, Zhuo-Xi;  Zhang, Juan;  Li, Yi-Ming;  Zhou, Jian-Feng   |  收藏  |  浏览/下载：24/0  |  提交时间：2019/07/11 method: data analysis  techniques: image processing  X-rays: time-varying objects   Data processing and error analysis for the CE-1 Lunar microwave radiometer 期刊论文  OAI收割 RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2013, 卷号: 13, 期号: 3, 页码: 359-372 作者:  Feng, Jian-Qing;  Su, Yan;  Liu, Jian-Jun;  Zou, Yong-Liao;  Li, Chun-Lai 收藏  |  浏览/下载：18/0  |  提交时间：2016/11/16 space vehicles  instruments: microwave radiometer  Moon: brightness temperature  method: data processing  error analysis   Retrieval of snow depth in Northeast China using FY-3B/MWRI passive microwave remote sensing data (EI CONFERENCE) 会议论文  OAI收割 Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states Ren R.; Gu L.; Chen H.; Cao J. 收藏  |  浏览/下载：138/0  |  提交时间：2013/03/25 Comparing with optical remote sensing techniques  passive remote sensing data have been proved to be effective for observing snowpack parameters such as snow depth and snow water equivalent  which can penetrate snowpack without clouds interferences. The Microwave Radiation Imager (MWRI) loaded on the Chinese FengYun-3B (FY-3B) satellite is gradually used in the global environment research through November  2011. In this paper  we proposed a snow depth retrieval algorithm to estimate snow depth in Northeast China using MWRI passive microwave remote sensing data. A decision tree method of snow identification was firstly designed to distinguish different snow cover conditions in order to eliminate other interference signals. After using the proposed decision tree method  the processing results were further used to retrieve the snow depth in Northeast China. Finally  the practical snow depth data and the MODIS data were collected for the accuracy assessment of the proposed snow depth retrieval method. The experimental results demonstrated that the RMSE of snow depth used the proposed method was approximately 3 cm in Northeast China. 2012 SPIE.   The application of digital signal processing (DSP) for the real time solving of artillery fire control exterior trajectory (EI CONFERENCE) 会议论文  OAI收割 2012 IEEE 3rd International Conference on Software Engineering and Service Science, ICSESS 2012, June 22, 2012 - June 24, 2012, Beijing, China 作者:  Li D. 收藏  |  浏览/下载：141/0  |  提交时间：2013/03/25 Method of gain firing data by calculate the group of differential equation has the advantages of high repeatability and high accuracy  But much of the CPU time is occupied by the task of re-iteration in computational processing. Therefore  it is not the real time processing. This paper introduces a method to quickly determine angle of firing by iteration method  which realizes Runge-Kutta method for the equations of exterior ballistic according to the model of mass center motion of projectile. Moreover  it also provides the flow of real-time integral solution and be proved by the simulation of MATLAB. Its accuracy satisfies the requirements. This work can be as reference for the design of opt-electrical fire control system and the demonstration work. 2012 IEEE.   The shape edge measure of automobile airbag based on image processing (EI CONFERENCE) 会议论文  OAI收割 2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012, October 18, 2012 - October 20, 2012, Nanjing, China 作者:  Li Y.;  Wang Z.;  Wang Z.;  Li Y.;  Li Y. 收藏  |  浏览/下载：33/0  |  提交时间：2013/03/25 At present  micrometer is used for measure the shape edge of automobile airbag. There are some shortcomings in this method. The number of test points is limited. Test data is not comprehensive. Detection speed is slow and a fixture can only test a kind of airbag. The method of airbag shape edge detection based on image processing is researched in this paper. The image of airbag is collected by CCD  and then it is sent to the computer to be processed and segmented. The edge of image is extracted through Canny edge detection algorithm in order to acquire shape edge of airbag in this paper  and the image similarity degree are calculated to provide the information of matching in the template matching process. Finally the comprehensive test shape edge of airbag is realized. The experimental results show that the detection method is effective feasible  intuitive and clear. 2012 IEEE.   An auto-focus algorithm of fast search based on combining rough and fine adjustment (EI CONFERENCE) 会议论文  OAI收割 3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012, March 27, 2012 - March 29, 2012, Xiamen, China 作者:  Zhang S.;  Zhang Y. 收藏  |  浏览/下载：25/0  |  提交时间：2013/03/25 A coarse and fine combined fast search and auto-focusing algorithm was suggested in this paper. This method can automatically search and find the focal plane by evaluating the image definition. The Krisch operator based edge energy function was used as the big-step coarse focusing  and then the wavelet transform based image definition evaluation function  which is sensitivity to the variation in image definition  was used to realize the small-step fine focusing in a narrow range. The un-uniform sampling function of the focusing area selection used in this method greatly reduces the workload and the required time for the data processing. The experimental results indicate that this algorithm can satisfy the requirement of the optical measure equipment for the image focusing. (2012) Trans Tech Publications.