中国科学院机构知识库网格系统: 检索

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	An Improved Deep Learning Approach for Retrieving Outfalls Into Rivers From UAS Imagery 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 14 作者: Huang, Yaohuan; Wu, Chengbin; Yang, Haijun; Zhu, Haitao; Chen, Mingxing \| 收藏 \| 浏览/下载：35/0 \| 提交时间：2022/09/21 Rivers Visualization Remote sensing Manuals Inspection Water resources Task analysis Deep learning digital surface model (DSM) faster region convolutional neural network (R-CNN) outfalls into river unmanned aircraft systems (UAS) imagery
	An Improved Deep Learning Approach for Retrieving Outfalls Into Rivers From UAS Imagery 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 14 作者: Huang, Yaohuan; Wu, Chengbin; Yang, Haijun; Zhu, Haitao; Chen, Mingxing \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2022/09/21 Rivers Visualization Remote sensing Manuals Inspection Water resources Task analysis Deep learning digital surface model (DSM) faster region convolutional neural network (R-CNN) outfalls into river unmanned aircraft systems (UAS) imagery
	Detection method of manufacturing defects on aircraft surface based on fringe projection 期刊论文 OAI收割 Optik, 2020, 卷号: 208, 页码: 1-13 作者: Xia RB(夏仁波); Zhao JB(赵吉宾); Zhang TY(张天宇); Su R(苏润); Chen YL(陈月玲) \| 收藏 \| 浏览/下载：35/0 \| 提交时间：2020/04/01 Fringe projection Aircraft surface Phase error Rivet recognition
	The aircraft autopilot design of parameters changing in a wide range (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Electric Information and Control Engineering, ICEICE 2011, April 15, 2011 - April 17, 2011, Wuhan, China Zhen D.; Yue Z. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 Autopilot is an important part of aircraft Under the action of the disturbance torque for the flight parameters of aircraft Changing in a wide range the range was about 16km on the basic of analyzing the typical trajectory the max height was about 5100m the trajectory of feature points were selected the deviation of lateral was about 12m taking pitch control loop for example the maximum angle of attack was about 3.6 a sub- PID autopilot was designed using classical control theory the maximum elevator deflection was less than 5 using single-mode Transient suppression method the maximum aileron deflection was less than 2 the overload due to control surface transition deflection was avoided when control parameters changing the maximum roll was less than 5 the verification was done by non-linear simulation. The result showed that: the phase margin of autopilot was greater than 30 the response of overload can accurately track the given overload instruction. An autopilot design method of aircraft of parameter changes in a wide range was provided. 2011 IEEE. the bandwidth was more than 14rad / s the settling time was less than 0.7s the maximum overshoot was 23.3%
	Research of programming about the level flight of aircraft (EI CONFERENCE) 会议论文 OAI收割 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China 作者: Lijiang 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 In order to carries on the plan and the control to aircraft level flight then obtain that the factors control the level route are the route position and the radius of turn finally carries on the software simulation using this algorithm the attitude and the route has been analyzed. First obtain that the factors control the level attitude are the roll angle and the yaw angle and infers the algorithm of flight route according to the attitude and the route restraint and infers the computation algorithm of attitude produce shortest aircraft level flight road map which through the giving route position on the software surface. According to this algorithm it may control and plan the aircraft level flight through to limit of the aircraft security attitude and the route position. 2010 IEEE.