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中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共8条,第1-8条 帮助

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Improved superpixel-based polarimetric synthetic aperture radar image classification integrating color features 期刊论文  iSwitch采集
Journal of applied remote sensing, 2016, 卷号: 10, 页码: 15
作者:  
Xing, Yanxiao;  Zhang, Yi;  Li, Ning;  Wang, Robert;  Hu, Guixiang
收藏  |  浏览/下载:51/0  |  提交时间:2019/05/09
Pedestrian Detection in Infrared Video Images 会议论文  OAI收割
6th international conference on manufacturing science and engineering (icmse), guangzhou, peoples r china, 2015-11-28
作者:  
Wu, Di;  Liu, Wei
收藏  |  浏览/下载:39/0  |  提交时间:2016/12/16
The design of high speed image acquisition system over Gigabit Ethernet (EI CONFERENCE) 会议论文  OAI收割
2010 IEEE International Conference on Wireless Communications, Networking and Information Security, WCNIS 2010, June 25, 2010 - June 27, 2010, Beijing, China
作者:  
Zhang W.;  He X.;  Zhang W.
收藏  |  浏览/下载:37/0  |  提交时间:2013/03/25
The applications based on traditional digital cameras have been limited by distance  cost and networking. Gigabit Ethernet is a data transmission standard based on the IEEE 802.3 protocol  brings several benefits to image transmission. In this paper  we compare the main features of Gigabit Ethernet and traditional digital camera interfaces. And  we design a high speed image acquisition system which overcomes these application limitations by allowing cameras to send imaging data over Gigabit Ethernet. In this system  we design a highly efficient  bidirectional conversion device based on FPGA  converts imaging data from a camera to IP packets based on UDP protocol  and sends it to PCs over inexpensive Cat-5 copper LAN cable. At the PC  the Cat-5 cable plugs into a standard Gigabit Ethernet NIC(network interface card)  eliminating the need for a frame grabber. An communications application software is used to acquire the network data  construct and display the image. A simple and efficient acknowledge and resend mechanism was used to guarantee packet delivery. The system architecture and the communication protocol are discussed in details  the experiment and results are presented in this paper. 2010 IEEE.  
The research on the automatic measurement of frequency characteristics of opto-electronic platform (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者:  
Liu H.;  Liu H.;  Chen J.;  Liu H.
收藏  |  浏览/下载:29/0  |  提交时间:2013/03/25
Compression of hyper-spectral images based on quadtree partitioning (EI CONFERENCE) 会议论文  OAI收割
2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009, August 8, 2009 - August 11, 2009, Beijing, China
作者:  
Zhang W.;  Zhang W.
收藏  |  浏览/下载:42/0  |  提交时间:2013/03/25
Displacement estimation by the phase-shiftings of fourier transform in present white noise (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Wu Y.-H.
收藏  |  浏览/下载:29/0  |  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.  
Detection and tracking of low contrast targets based on integertype lifting wavelet transform (EI CONFERENCE) 会议论文  OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Wang L.;  Wang L.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:21/0  |  提交时间:2013/03/25
This paper presents a method for detecting and tracking of low contrast targets. The new method uses an integer-type lifting wavelet transform and the proposed method doesn't extract patterns similar to a template  but finds parts having the same feature in the targets. We utilize one of integer-type lifting wavelet transforms that contains rounding-off arithmetic for mapping integers to integers. The lifting term contains parameters that are learned by using standard training images of targets. We assume that the targets include many high frequency components. In order to obtain the features of the targets  the lifting parameters are determined by a condition that high frequency components are vanished in wavelet transform. But the condition cannot be determined by the parameters wholly. So  we put an additional condition of minimizing the squared sum of the lifting parameters. The advantage of using integer-type wavelet transform is simple and robust to noise. Simulation illustrated the approach can detect and track the moving targets in dim background. We would test our algorithm in the TV tracking system.  
Arc fault signatures detection on aircraft wiring system (EI CONFERENCE) 会议论文  OAI收割
6th World Congress on Intelligent Control and Automation, WCICA 2006, June 21, 2006 - June 23, 2006, Dalian, China
Hongkun Z.; Tao C.; Wenjun L.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
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