机构

• 长春光学精密机械与物... [2]
• 心理研究所 [1]

采集方式

• OAI收割 [3]

内容类型

• 会议论文 [2]
• 期刊论文 [1]

发表日期

• 2015 [1]
• 2011 [2]

学科主题

筛选

浏览/检索结果: 共3条，第1-3条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Perceptual learning improves neural processing in myopic vision 期刊论文  OAI收割 JOURNAL OF VISION, 2015, 卷号: 15, 期号: 10, 页码: 12：1-14 作者:  Yan, Fang-Fang;  Zhou, Jiawei;  Zhao, Wuxiao;  Li, Min;  Xi, Jie 收藏  |  浏览/下载：49/0  |  提交时间：2015/12/28 myopia  perceptual learning  contrast sensitivity function  perceptual template model  external noise method   Robust trajectory tracking control of autonomous quad-rotor UAV based on double loop frame (EI CONFERENCE) 会议论文  OAI收割 2011 International Conference on Materials, Mechatronics and Automation, ICMMA 2011, January 15, 2011 - January 16, 2011, Melbourne, VIC, Australia 作者:  Sun Q. 收藏  |  浏览/下载：29/0  |  提交时间：2013/03/25 This paper deals with the under-actuated characteristic of a quad-rotor unmanned aerial vehicle (UAV). By designing the double loop configuration  the autonomous trajectory tracking is realized. The model uncertainty  external disturbance and the senor noise are also taken into consideration. Then the H controller is put forward in the inner loop. An optimal stability augmentation control (SAC) method is used to stabilize the horizon position and keep it away from oscillation. By calculating the nonlinear decouple map  control quantity is converted to the speeds of the four rotors. At last some simulation results and the prototype implementation prove that the control method is effective.   Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE) 会议论文  OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China 作者:  Dong Y.-X.;  Zhang H.-B.;  Li Y.;  Li Y.;  Li Y. 收藏  |  浏览/下载：116/0  |  提交时间：2013/03/25 Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system  the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms  such as adaptive background prediction detecting method. When background has dispersion-decreasing structure  the traditional target detection algorithms would be more useful. But when the background has large gray gradient  such as sea-sky-line  sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature  in our opinion  from the perspective of mathematics  the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis  the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection  its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore  the purpose of the image preprocessing is to reduce the effects from noise  also to raise the SNR of image  and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics  the median filter is used to eliminate noise  improve signal-to-noise ratio  then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line  so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).