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长春光学精密机械与物... [9]
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期刊论文 [7]
会议论文 [2]
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2022 [2]
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2011 [2]
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专题:长春光学精密机械与物理研究所
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Rapid Vehicle Detection in Aerial Images under the Complex Background of Dense Urban Areas
期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 9, 页码: 22
作者:
S. J. Zhu
;
J. H. Liu
;
Y. Tian
;
Y. J. Zuo and C. L. Liu
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提交时间:2023/06/14
Fuzzy adaptive observer-based fault estimation design with adjustable parameter for satellite under unknown actuator faults and perturbations
期刊论文
Iet Control Theory and Applications, 2022, 卷号: 16, 期号: 8, 页码: 741-761
作者:
Y. B. Li
;
W. Xu and L. Chang
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提交时间:2023/06/14
SpectralSpatial Fractal Residual Convolutional Neural Network With Data Balance Augmentation for Hyperspectral Classification
期刊论文
Ieee Transactions on Geoscience and Remote Sensing, 2021, 卷号: 59, 期号: 12, 页码: 10473-10487
作者:
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浏览/下载:4/0
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提交时间:2022/06/13
SSDANet: Spectral-Spatial Three-Dimensional Convolutional Neural Network for Hyperspectral Image Classification
期刊论文
Ieee Access, 2020, 卷号: 8, 页码: 127167-127180
作者:
X. Zhang,Y. C. Wang,N. Zhang,D. D. Xu,H. Y. Luo,B. Chen and G. L. Ben
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浏览/下载:2/0
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提交时间:2021/07/06
Intelligent Ship Detection in Remote Sensing Images Based on Multi-Layer Convolutional Feature Fusion
期刊论文
Remote Sensing, 2020, 卷号: 12, 期号: 20, 页码: 30
作者:
Y. L. Zhang,L. H. Guo,Z. F. Wang,Y. Yu,X. W. Liu and F. Xu
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浏览/下载:2/0
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提交时间:2021/07/06
Underwater Object Recognition Based on Deep Encoding-Decoding Network
期刊论文
Journal of Ocean University of China, 2019, 卷号: 18, 期号: 2, 页码: 376-382
作者:
X.H.Wang
;
J.H.Ouyang
;
D.Y.Li
;
G.Zhang
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浏览/下载:1/0
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提交时间:2020/08/24
deep learning,transfer learning,encoding-decoding,underwater object,object recognition,Oceanography
Transferring deep knowledge for object recognition in Low-quality underwater videos
期刊论文
Neurocomputing, 2018, 卷号: 275, 页码: 897-908
作者:
Sun, X.
;
Shi, J. Y.
;
Liu, L. P.
;
Dong, J. Y.
;
Plant, C.
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提交时间:2019/09/17
Deep learning
Transfer learning
Computer vision
Object detection
Underwater video analysis
tracking
Computer Science
Robust trajectory tracking control of autonomous quad-rotor UAV based on double loop frame (EI CONFERENCE)
会议论文
2011 International Conference on Materials, Mechatronics and Automation, ICMMA 2011, January 15, 2011 - January 16, 2011, Melbourne, VIC, Australia
Hou Z. C.
;
Gong X.
;
Bai Y.
;
Tian Y. T.
;
Sun Q.
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浏览/下载:18/0
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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.
Stability control of quad-rotor based on explicit model following with inverse model feedforward method (EI CONFERENCE)
会议论文
2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011, August 7, 2011 - August 10, 2011, Beijing, China
Bai Y.
;
Gong X.
;
Hou Z.
;
Tian Y.
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浏览/下载:13/0
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提交时间:2013/03/25
The quad-rotor is expected to carry out many different tasks. It is hoped that the quad-rotor can have different characteristics according to the different mission requirements. For this reason
a flight stability augmentation control system based on explicit model following with inverse model feedforward control method is proposed in this paper. This control system is composed of an explicit model
an inverse model and a feedback controller module. In order to calculate an inverse model of the coupled multivariable aircraft system
a feedback linearization loop is also applied to this control system. At last
simulations are performed to show the effectiveness of the designed stability augmentation control system in the presence of external disturbance and model uncertainty. The influence of explicit model to the characteristics of quad-rotor is also indicated in a contrast simulation result. 2011 IEEE.
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