中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共8条，第1-8条

帮助

条数/页：排序方式：
	A new two-sensor non-destructive testing method of grouted rock bolts 期刊论文 OAI收割 CONSTRUCTION AND BUILDING MATERIALS, 2022, 卷号: 317, 期号: -, 页码: - 作者: Liu, Liu; Li, Shaojun; Jiang, Xi; Tao, Fengjuan \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2023/08/02 Rock bolt Non-destructive testing Grouted defect Instantaneous phase Automatic identification Two-sensors
	Spatiotemporal Remote Sensing Image Fusion Using Multiscale Two-Stream Convolutional Neural Networks 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 12 作者: Chen, Yuehong; Shi, Kaixin; Ge, Yong \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2022/09/21 Spatial resolution Image resolution Feature extraction Convolutional neural networks Remote sensing Spatiotemporal phenomena Sensors Multiscale feature spatiotemporal image fusion two-stream convolutional neural networks
	Spatiotemporal Remote Sensing Image Fusion Using Multiscale Two-Stream Convolutional Neural Networks 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 12 作者: Chen, Yuehong; Shi, Kaixin; Ge, Yong; Zhou, Ya'nan \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2022/09/21 Spatial resolution Image resolution Feature extraction Convolutional neural networks Remote sensing Spatiotemporal phenomena Sensors Multiscale feature spatiotemporal image fusion two-stream convolutional neural networks
	Color filtering method for CFA images based on gradient (EI CONFERENCE) 会议论文 OAI收割 International Conference on Communication Systems and Network Technologies, CSNT 2012, May 11, 2012 - May 13, 2012, Rajkot, Gujrat, India 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：34/0 \| 提交时间：2013/03/25 Single-sensor digital cameras capture image by covering the sensor surface with a color filter array(CFA) such that each sensor pixel only samples one of three primary color values three color is R(red) G(green) and B(blue). To render a full-color image need an interpolation process commonly referred to as CFA demosaicking is required to estimate the other two contributions for producing a full-color image. But the noise in imaging sensors not only corrupts the color filter array at the same time introduces artifacts during the color interpolation step and influence quality of images. In order to acquire high quality full-color images adopt a sort of viable and effective interpolation algorithm based on gradient at the time of removing the noise reserve image border and detail information clearly. 2012 IEEE.
	Influence of heat-source temperature on convection-based tilt sensor output 会议论文 OAI收割 2012 International Conference on Measurement, Information and Control, MIC 2012, Harbin, China, MAY 18-20, 2012 作者: Zheng YH; Peng SL(彭世镠) 收藏 \| 浏览/下载：37/0 \| 提交时间：2013/02/26 Sensors Temperature Convection-based Heat-source Hermetic chambers Sensitive mechanism Temperature flow Tilt Tilt sensor Two-dimension
	The angular velocity estimation principal of -- filter based on high sampling rate (EI CONFERENCE) 会议论文 OAI收割 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China 作者: Zhang Y. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 In order to get angular velocity of stabilization servo mechanism from angular position sensors -- filter and its angular velocity transfer function were predigested. Combing with optimum parameters -- filter based on high sampling rate was established the effect of and sample rate on filter nature frequency were evaluated. According to the requirements of stabilization platform the principle of steady and transient tracking filter differential were proved. With the hypothesis of constant acceleration the frequency characteristics of angular velocity transfer function were analyzed three-dimensional Kalman filter was simplified and the filter parameters were designed. The results show that when the spectrum of input signal was lower than 6rad/s parameters was 0.02 and sampling period were 0.08ms and 0.1ms respectively the filter can realize differential exactly when the spectrum was 9rad/s the precision was no less than 1.1% the phase leading of angular position was no less than 70 the natural frequency should be higher than the cut-off frequency of stabilization platform was two or three times. In the engineering of electro-optical stabilization servo mechanism -- filter has properties of tracking differential and reached the requirement of platform angular velocity estimation. Also it is one of the effective methods to get angular velocity from angular position sensors. 2011 IEEE.
	Design of driving circuit for binocular CCD image system (EI CONFERENCE) 会议论文 OAI收割 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, April 26, 2010 - April 29, 2010, Dalian, China 作者: Zhang X.; Zhang X.; Zhang X. 收藏 \| 浏览/下载：42/0 \| 提交时间：2013/03/25 The paper designs a driving circuit of high sensitive wide dynamic and high signal-to-noise ratio for binocular CCD imaging system which adopts a Dalsa-made high resolution full-frame 33-mega pixels area CCD FTF5066M. Inner structure and driving timing of the FTF5066M sensor are presented. Field Programmable Gate Array (FPGA) is used as the main device to accomplish the timing design of the circuits and power driver control of the two sensors. By using the Correlated Double Sampling (CDS) technique the video noise is reduced and the SNR of the system is increased. A 12- bit A/D converter is used to improve the image quality. The output rate of the imaging system designed with integrated chip can reach to 1.3 frames per second through bi-channel. For its good performance low power consumption and small volume the driving system can be applied to aeronautics and astronautics field. With a further improvement a maximum data output rate of 2.7 frames per second can be reached through all the eight channels of the two CCDs. 2010 Copyright SPIE - The International Society for Optical Engineering.
	Environment modeling of AS-R robot based on BP Neural Network (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 Xie M.-J.; Yu X.-L.; Wang Z.-Q. 收藏 \| 浏览/下载：33/0 \| 提交时间：2013/03/25 There are some limitations when environment model of AS-R mobile robot is obtained by only using a separate CCD camera or ultrasonic sensor array. The BP neural network is designed to fuse information of the two sensors to obtain the robot's environment model in this paper. The input of BP neural network is the intercept and slope of the edge line obtained CCD camera and ultrasonic sensor arrays which is processed by through the global coordinates of coordinate transformation. The output of BP network is the fused intercept and slope of the straight edge. Experiment shows that environment model is feasible for the AS-R mobile robot and the environment modeling method has more reliability and accuracy. 2010 IEEE.