As a common scheme of image tampering,copy-move forgery plays an important role in image forgery *** several blind methods aimed at detecting replicated regions have been proposed,these methods cannot detect the rotat...
详细信息
As a common scheme of image tampering,copy-move forgery plays an important role in image forgery *** several blind methods aimed at detecting replicated regions have been proposed,these methods cannot detect the rotation changes in the duplicated areas *** this paper,a new forensic method is presented to detect the replicated areas rotated by arbitrary angles,even by JPEG *** achieve this,overlapping blocks of pixels are decomposed using dual tree complex wavelet transform(DTCWT),and then channel energies are extracted from each subband at each decomposition level using the ***,the anisotropic rotationally invariant features are extracted using magnitudes of discrete Fourier transform for these channel *** implementation procedure of the proposed method is described in *** experimental results,including a comparative evaluation with existing methods and the special applications in practice,are also presented to demonstrate the robustness and efectiveness of the proposed method.
Purpose–The purpose of this paper is to simplify the Explicit Nonlinear Model Predictive controller(ENMPC)by linearizing the trajectory with Quantum-behaved Pigeon-Inspired Optimization(QPIO).Design/methodology/appro...
详细信息
Purpose–The purpose of this paper is to simplify the Explicit Nonlinear Model Predictive controller(ENMPC)by linearizing the trajectory with Quantum-behaved Pigeon-Inspired Optimization(QPIO).Design/methodology/approach–The paper deduces the nonlinear model of the quadrotor and uses the ENMPC to track the *** the ENMPC has high demand for the state equation,the trajectory needed to be differentiated many *** the trajectory is complicate or discontinuous,QPIO is proposed to linearize the *** the linearized trajectory will be used in the ***–Applying the QPIO algorithm allows the unequal distance sample points to be acquired to linearize the *** with the equidistant linear interpolation,the linear interpolation error will be *** implications–Small-sized quadrotors were adopted in this research to simplify the *** model is supposed to be accurate and differentiable to meet the requirements of ***/value–Traditionally,the quadrotor model was usually linearized in the *** this paper,the quadrotormodel waskept nonlinear and the trajectorywill be *** sample points were utilized to linearize the *** this way,the authors can get a smaller interpolation *** method can also be applied to discrete systems to construct the interpolation for trajectory tracking.
This paper presents a novel control method by integrating the sliding mode disturbance observerbased control and the backstepping control technique,and successfully applies it to a flight control system for heavy carg...
详细信息
This paper presents a novel control method by integrating the sliding mode disturbance observerbased control and the backstepping control technique,and successfully applies it to a flight control system for heavy cargo airdrop *** super-twisting second order sliding mode disturbance observer(SOSMDO)is employed to estimate bounded but otherwise arbitrary disturbances,thus ensuring asymptotic convergence of the estimation error to zero in a finite ***,the integrated controller can significantly improve the robustness of the flight control system to modeling uncertainty and external disturbance in the presence of state/control *** closed-loop stability is guaranteed in the sense of *** addition,the proposed approach can considerably reduce design *** performance of the proposed control method is demonstrated in a very low altitude extraction airdrop simulation with a high-fidelity six-degree-of-freedom transport aircraft model.
In this paper, we propose a method towards unsupervised segmentation of synthetic aperture radar (SAR) image for segmentation of homogeneous regions. The SAR amplitude image is modeled by Rayleigh distribution. Moreov...
详细信息
With the improvement of the aircraft flight performance and development of computing science,uninhabited combat aerial vehicle(UCAV) could accomplish more complex *** this also put forward stricter requirements for th...
详细信息
With the improvement of the aircraft flight performance and development of computing science,uninhabited combat aerial vehicle(UCAV) could accomplish more complex *** this also put forward stricter requirements for the flight control system,which are the crucial issues of the whole UCAV system *** paper proposes a novel UCAV flight controller parameters identification method,which is based on predator-prey particle swarm optimization(PSO) algorithm.A series of comparative experimental results verify the feasibility and effectiveness of our proposed approach in this paper,and a predator-prey PSO-based software platform for UCAV controller design is also developed.
This paper is concerned with the entropy optimization based filter design for a class of multivariate dynamic stochastic systems with simultaneous presence of non-Gaussian process noise and measurement *** filter cons...
详细信息
This paper is concerned with the entropy optimization based filter design for a class of multivariate dynamic stochastic systems with simultaneous presence of non-Gaussian process noise and measurement *** filter consists of time update and measurement update two steps, where the selection of the filter gain in the measurement update equation is a key issue to be addressed. Different from the classic Kalman filter theory, entropy rather than variance is employed as the filtering performance criterion due to the non-Gaussian characteristic of the estimation error. Following the establishment of the relationship between the probability density functions of random noises and estimation error, two kinds of entropy based performance indices are provided. On this basis, the corresponding optimal filter gains are obtained respectively by using the gradient optimization technique. Finally, some numerical simulations are provided to demonstrate the effectiveness of the proposed filtering algorithms.
Visual-Inertial Odometry(VIO) fuses measurements from camera and Inertial Measurement Unit(IMU) to achieve accumulative performance that is better than using individual *** VIO is an extended Kalman filter-based solut...
详细信息
Visual-Inertial Odometry(VIO) fuses measurements from camera and Inertial Measurement Unit(IMU) to achieve accumulative performance that is better than using individual *** VIO is an extended Kalman filter-based solution which augments features with long tracking length into the state vector of Multi-State Constraint Kalman Filter(MSCKF). In this paper, a novel hybrid VIO is proposed, which focuses on utilizing low-cost sensors while also considering both the computational efficiency and positioning precision. The proposed algorithm introduces several novel contributions. Firstly, by deducing an analytical error transition equation, onedimensional inverse depth parametrization is utilized to parametrize the augmented feature *** modification is shown to significantly improve the computational efficiency and numerical robustness, as a result achieving higher precision. Secondly, for better handling of the static scene,a novel closed-form Zero velocity UPda Te(ZUPT) method is proposed. ZUPT is modeled as a measurement update for the filter rather than forbidding propagation roughly, which has the advantage of correcting the overall state through correlation in the filter covariance matrix. Furthermore, online spatial and temporal calibration is also incorporated. Experiments are conducted on both public dataset and real data. The results demonstrate the effectiveness of the proposed solution by showing that its performance is better than the baseline and the state-of-the-art algorithms in terms of both efficiency and precision. A related software is open-sourced to benefit the community.
A new lateral reentry guidance method for maneuver glide vehicles is presented specially to satisfy the geographic *** entry trajectory constraints including the common path constraints and the geographic constraints ...
详细信息
ISBN:
(纸本)9789881563835
A new lateral reentry guidance method for maneuver glide vehicles is presented specially to satisfy the geographic *** entry trajectory constraints including the common path constraints and the geographic constraints are considered,and a guidance strategy is *** conventional linear quadratic regulator(LQR) is used to track the longitudinal profiles.A lateral guidance algorithm based on target prediction is studied for the mission of matching waypoints. With the target's cross range error,the reversal logic and fine adjustment method of bank angle are *** to the mission of avoiding no-fly zones,a lateral guidance algorithm with on-line designed dynamic heading error corridor is presented Simulation in nominal case indicates that the geographic and other constraints can be satisfied with only 5 bank *** Monte Carlo simulations are taken for the distribution of initial condition and aerodynamic *** lateral guidance provides good performance cooperated with the longitudinal guidance,and has a perfect interference capacity for the disturbance.
Because of particular dynamic characteristics,the traditional method for calculating weight matrices in LQR is not suitable for reentry vehicle *** paper designs parameter varying weight *** this method,on the basis o...
详细信息
ISBN:
(纸本)9781479947249
Because of particular dynamic characteristics,the traditional method for calculating weight matrices in LQR is not suitable for reentry vehicle *** paper designs parameter varying weight *** this method,on the basis of vehicle entry flight characteristics,we design the functional relationship between weight matrix parameters and flight *** simulations show that this method can improve the performance of reentry vehicle profile following obviously,and it is more robust to different disturbances.
The ability of in-time,real-time and reliable fault detection is essential for liquid-propellant rocket engine to monitor its working *** Monitoring System(IMS) is a data-mining based real-time fault detection *** pap...
详细信息
ISBN:
(纸本)9789881563897
The ability of in-time,real-time and reliable fault detection is essential for liquid-propellant rocket engine to monitor its working *** Monitoring System(IMS) is a data-mining based real-time fault detection *** paper studies the problem that how to reduce the high false alarm rate when IMS is applied to monitor the system during trials or *** is found that the order of sample data and outliers of test data contribute a lot to the high false alarm *** reduce the interference evoked by the order of sample data and outliers of test data,an improved IMS method is proposed by rescheduling the sample data and processing outliers that may occur during the monitoring *** is performed to show that the improved IMS in this paper can decrease the false alarm rate while ensuring timeliness,reliability and accuracy of fault detection.
暂无评论