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CAS IR Grid
机构
长春光学精密机械与物... [6]
中国科学院大学 [1]
西安光学精密机械研究... [1]
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OAI收割 [7]
iSwitch采集 [1]
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会议论文 [7]
期刊论文 [1]
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2016 [2]
2010 [2]
2009 [1]
2006 [3]
学科主题
automation... [1]
engineerin... [1]
engineerin... [1]
materials ... [1]
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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
Polarimetric synthetic aperture radar
Color features
Polarimetric decomposition
Superpixel
Simple linear iterative clustering
Image classification
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
pedestrian detection
infrared video images
background subtraction
simple features
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
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浏览/下载:29/0
|
提交时间:2013/03/25
A new frequency characteristic test method is proposed based on the digitization characteristics of optoelectronic platform servo system. First a digital processing controller is used to automatically test the entire process and tested data are uploaded to a PC through CAN-bus
and then the tested data are transferred into accurate transfer function with the Levy method. Here we discuss the testing steps
the data processing
the extraction
the Bode diagram plotting and the model identification in detail. The corresponding experiments are carried out
and the results show that the method is simple with the features of high efficiency
high precision and engineering feasibility. 2010 IEEE.
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
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浏览/下载:42/0
|
提交时间:2013/03/25
The paper analyzes the characteristic features of hyper-spectral image and presents a compression of hyperspectral images based on quadtree partitioning. Quadtree partition is used to get the mean image of the whole image and the significant correlation of image can be decorrelated by subtract the mean image from original image. The difference image is compressed by DCT and encoded with arithmetic code. Experiment show the algorithm is simple and easy to use in real-time image compressing. 2009 IEEE.
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
In this paper an arc fault detection method Is proposed based on characteristics of the fault current of an electric arc. A localized signal processing method Is developed using wavelet analysis to decompose the differential current signal Into a series of wavelet components
each of which Is a time-domain signal that covers a specific frequency band. Thus
more distinctive signal features that represent arc faults and other fault transient phenomena are extracted. As a result
by quantifying the extracted features
an arc faults are distinguished from phenomena similar to arc and other fault transients using the differences In the quantified features. Simulation studies have demonstrated that the proposed method Is reliable and simple. 2006 IEEE.
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