The Terrain Observation by Progressive Scans (TOPS) mode solves the problems existing in the conventional ScanSAR mode by steering the antenna along the azimuth direction. However, the antenna steering introduces a se...
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ISBN:
(纸本)9781509027095
The Terrain Observation by Progressive Scans (TOPS) mode solves the problems existing in the conventional ScanSAR mode by steering the antenna along the azimuth direction. However, the antenna steering introduces a serious azimuth signal aliasing both in time-domain and frequency-domain, thus traditional imaging algorithms are not available for the TOPS mode. In order to solve the azimuth signal aliasing, an efficient TOPS imaging algorithm based on spectral analysis (SPECAN) is presented in this paper, which is improved by sub-apertures division in the azimuth processing part. Only few FFTs and complex multiplications are used in the whole imaging processing, thus the algorithm has a high efficiency. What's more, in the final focused image, different ranges have the same azimuth interval and the azimuth image resolution is alterable according to the application requirements. Finally, some simulations are conducted to verify the validity of the proposed method.
In the paper, a non-contact vibration retrieval method was presented and the performance was analyzed based on linear frequency modulation continuous wave (LFMCW) radar. Firstly, the backscattered signal model of a vi...
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ISBN:
(纸本)9781509027095
In the paper, a non-contact vibration retrieval method was presented and the performance was analyzed based on linear frequency modulation continuous wave (LFMCW) radar. Firstly, the backscattered signal model of a vibrational target was introduced with the stop-go assumption. Then a vibration retrieval method was proposed by extracting phase based on the backscattered signal model of a vibrational target. The influence of noise and clutter on vibration retrieval was analyzed, and the signal noise ratio of vibration measurement was obtained. Finally, the validity of the performance analysis was verified by computer simulations. In addition, the experimental data acquired by LFMCW radar was used to test the proposed method.
GF-3 is the Chinese Synthetic Aperture Radar (SAR) satellite mission with scientific and commercial applications, which will be launched in 2016. The ortho-rectification image combined with the DEM data can only be sa...
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GF-3 is the Chinese Synthetic Aperture Radar (SAR) satellite mission with scientific and commercial applications, which will be launched in 2016. The ortho-rectification image combined with the DEM data can only be satisfied with the applications of the high resolution radar image, the data quantity with wide-breadth also put forward higher request to the automation processing. The Reverse-Range-Doppler method was used to ortho-rectified the SAR image of GF-3 satellite based on the Range-Doppler model in this paper. It not only ensures the correction precision, but also simplifies the iteration steps about DEM data, and improves the efficiency of automatic processing.
Many distinguished methods for vascular network detection in fundus images were proposed to help the diagnosis of clinical diseases. The vascular bifurcation sample in OCT projection images is quite limited while it i...
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ISBN:
(纸本)9781509037117
Many distinguished methods for vascular network detection in fundus images were proposed to help the diagnosis of clinical diseases. The vascular bifurcation sample in OCT projection images is quite limited while it is sufficient in the corresponding fundus images. In this paper, we proposed a transfer learning-based method to detect the vascular bifurcations in OCT projection images using supervised transfer learning method. The samples from fundus images are utilized with transfer learning technique for vascular bifurcations detection in OCT projection images. The experimental results show the accuracy of vascular bifurcations detection can be improved by the proposed method.
In practical multi-sensor tracking systems, target states are estimated based on measurements which are often obtained non-uniformly from each local sensor, and the system bias widely exists in these measurements. How...
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ISBN:
(纸本)9781467374439
In practical multi-sensor tracking systems, target states are estimated based on measurements which are often obtained non-uniformly from each local sensor, and the system bias widely exists in these measurements. However, conventional methods can only deal with the two issues respectively. Based on an expectation-maximization(EM) algorithm and improved Kalman filter, a novel algorithm is proposed to solve the two problems together for the first time. In each local sensor, sensor bias registration and target state estimation are performed with EM at each measurement sampled time. With the non-uniform filtering result at previous time, extrapolation and innovation correction are performed at the uniform system time. Finally, these local target states at the global system time are transmitted and fused in the fusion center. The simulation shows that the proposed method is effective and reliable for the practical distributed sensor network.
This paper considered a simultaneous H ∞ stabilization problem for a family of linear norm bounded uncertain systems. By using the LMI approach and dynamic state feedback theory, the necessary and sufficient conditio...
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ISBN:
(纸本)9781467374439
This paper considered a simultaneous H ∞ stabilization problem for a family of linear norm bounded uncertain systems. By using the LMI approach and dynamic state feedback theory, the necessary and sufficient condition for the existence of the desired controller was obtained. The controller can be derived by a convergent iterative algorithm designed in the ***, a numerical experiment was performed to illustrate the proposed method.
Penetration Rate is an important parameter of hard rock tunnel boring machine(TBM) in tunneling *** prediction accuracy of Penetration Rate has great effect on the successful accomplishment of tunneling *** aim of thi...
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ISBN:
(纸本)9781479970186
Penetration Rate is an important parameter of hard rock tunnel boring machine(TBM) in tunneling *** prediction accuracy of Penetration Rate has great effect on the successful accomplishment of tunneling *** aim of this paper is to predict the penetration rate and rank the importance of rock mass properties via Random Forests *** Forests is a high accuracy regression algorithm,which is not prone to over fitting and has good tolerance to outliers and noise.A database including actual,measured penetration rates and several rock mass properties are established by using the data collected from a real tunnel *** on the database,we use random forests algorithm to model the penetration rate of the tunnel *** simulation results show that the random forest based prediction model has better predictive accuracy and can sort the features of rock mass properties(UCS,BTS,PSI,DPW and \alpha) by the importance.
In this work, we address the problem of reducing the false positives for human detection in videos. We employ the motion cue to build a foreground probability model. Then the mean expectation of the pixel-level foregr...
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This paper designs output-feedback model predictive control for discrete-time stochastic linear systems. An augmented system of both estimated state and estimation error is formulated. A series of polyhedrons is desig...
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ISBN:
(纸本)9781467374439
This paper designs output-feedback model predictive control for discrete-time stochastic linear systems. An augmented system of both estimated state and estimation error is formulated. A series of polyhedrons is designed for uncertainty propagation of the augmented system and handling probabilistic constraints. In particular, the polyhedron of estimation error is maintained over the repeated optimization such that the real system state is properly estimated. The resultant optimization problem of the controller is quadratic programming and is solved efficiently. A numerical example is given to illustrate performance of the controller.
In this paper, we mainly focus on the problem of quantized feedback stabilization for a discrete-time linear system with faults. The dynamic uniform quantizer is used here, and quantized measurements of the state are ...
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ISBN:
(纸本)9781467374439
In this paper, we mainly focus on the problem of quantized feedback stabilization for a discrete-time linear system with faults. The dynamic uniform quantizer is used here, and quantized measurements of the state are available. The research contents are divided into two parts. And the feedback stabilization of the system with sensor or actuator faults is studied respectively. The sufficient conditions that the quantizer should satisfy are given. Numerical examples show that the results are effective.
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