CORC

在结果中检索

CORC

浏览/检索结果: 共9条，第1-9条 帮助

限定条件                
已选(0)清除 条数/页：   排序方式：
Decoupled Object-Independent Image Features for Fine Phasing of Segmented Mirrors Using Deep Learning 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 18, 页码: 19
作者:  Y. R. Wang;  C. Y. Zhang;  L. Guo;  S. Y. Xu and G. H. Ju
收藏  |  浏览/下载：2/0  |  提交时间：2023/06/14
Obstacle Avoidance in a Three-Dimensional Dynamic Environment Based on Fuzzy Dynamic Windows 期刊论文
Applied Sciences-Basel, 2021, 卷号: 11, 期号: 2, 页码: 23
作者:  C. Xu;  Z. B. Xu and M. Y. Xia
收藏  |  浏览/下载：4/0  |  提交时间：2022/06/13
Design of off-axis three-mirror optical system based on Wassermann-Wolf equations 期刊论文
Guangxue Xuebao/Acta Optica Sinica, 2016, 卷号: 36, 期号: 12
作者:  Xu, F.;  W. Huang and M. Xu
收藏  |  浏览/下载：15/0  |  提交时间：2017/09/11
基于RTX系统的实时并行处理技术研究 学位论文
硕士: 中国科学院大学, 2015
作者:  杨建
收藏  |  浏览/下载：21/0  |  提交时间：2016/04/11
头盔显示器光学系统关键技术研究 学位论文
博士: 中国科学院大学, 2015
作者:  李华
收藏  |  浏览/下载：172/0  |  提交时间：2015/11/30
小型化可见/近红外宽波段实时成像光谱技术研究 学位论文
博士: 中国科学院大学, 2015
作者:  刘兵
收藏  |  浏览/下载：91/0  |  提交时间：2015/11/30
航天器合作靶标自动识别关键技术研究 学位论文
博士: 中国科学院大学, 2015
作者:  初广丽
收藏  |  浏览/下载：38/0  |  提交时间：2015/11/30
Embedded system of image storage based on Fiber Channel (EI CONFERENCE) 会议论文
Quantum Optics, Optical Data Storage, and Advanced Microlithography, November 12, 2007 - November 14, 2007, Beijing, China
Chen X.; Su W.; Xing Z.; Wang H.
收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25
In domains of aerospace  aviation  aiming  and optic measure etc.  the embedded system of imaging  processing and recording is absolutely necessary  which has small volume  high processing speed and high resolution. But the embedded storage technology becomes system bottleneck because of developing slowly. It is used to use RAID to promote storage speed  but it is unsuitable for the embedded system because of its big volume. Fiber channel (FC) technology offers a new method to develop the high-speed  portable storage system. In order to make storage subsystem meet the needs of high storage rate  make use of powerful Virtex-4 FPGA and high speed fiber channel  advance a project of embedded system of digital image storage based on Xilinx Fiber Channel Arbitrated Loop LogiCORE. This project utilizes Virtex4 RocketIO MGT transceivers to transmit the data serially  and connects many Fiber Channel hard drivers by using of Arbitrated Loop optionally. It can achieve 400MBps storage rate  breaks through the bottleneck of PCI interface  and has excellences of high-speed  real-time  portable and massive capacity.  
Displacement estimation by the phase-shiftings of fourier transform in present white noise (EI CONFERENCE) 会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Wu Y.-H.; Yu Q.-Y.
收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25
Displacement estimation is a fundamental problem in Real-time video image processing. It can be typically approached by theories based on features in spatial domain. This paper presents an algorithm which improves the theory for estimating the moving object's displacement in spatial domain by its Fourier transform frequency spectrum. Because of the characters of Fourier transform  the result is based on all the features in the image. Utilizing shift theorem of Fourier transform and auto-registration  the algorithm employs the phase spectrum difference in polar coordinate of two frame images sequence with the moving target1  2. The method needn't transform frequency spectrum to spatial domain after calculation comparing with the traditional algorithm which has to search Direc peak  and it reduces processing time. Since the technique proposed uses all the image information  including all the white noise in the image especially  and it's hard to overcome the aliasing from noises  but the technique can be an effective way to analyze the result in little white noise by the different characters between high and low frequency bands. It can give the displacement of moving target within 1 pixel of accuracy. Experimental evidence of this performance is presented  and the mathematical reasons behind these characteristics are explained in depth. It is proved that the algorithm is fast and simple and can be used in image tracking and video image processing.  

©版权所有 ©2017 CSpace - Powered by CSpace