This study aims to address the issue of target positioning accuracy in airborne optoelectronic platforms. Firstly, the paper refines and summarizes the typical workflow for target positioning based on uav airborne opt...
This study aims to address the issue of target positioning accuracy in airborne optoelectronic platforms. Firstly, the paper refines and summarizes the typical workflow for target positioning based on uav airborne optoelectronic platforms. To enhance the target positioning accuracy of airborne optoelectronic platforms, an improved method based on the particle swarm optimization algorithm (PSO) and the backpropagation neural network (BP) is proposed. The paper begins by explaining the research background and identifying the problems. It then proposes a target localization model based on the optoelectronic platform. Subsequently, the PSO-BP method is introduced, highlighting its advantages, principles, and implementation process. Experimental results demonstrate that the PSO-BP method can effectively enhance the target localization accuracy of airborne optoelectronic platforms. The research findings of this paper hold significant theoretical importance and practical value in improving the target localization accuracy of airborne optoelectronic platforms. Additionally, they offer a new research direction for further advancements in uav target localization. In conclusion, this comprehensive literature review provides insights into the research gap and research motivation in the field of target positioning accuracy in airborne optoelectronic platforms. The proposed PSO-BP method demonstrates its effectiveness in enhancing target localization accuracy. The findings contribute to the theoretical understanding and practical application of improving target localization in airborne optoelectronic platforms, and they also suggest avenues for future research in uav target localization.
This paper presents a novel video steganography scheme based Post-Quantum Cryptography encryption. The Post-Quantum Cryptography has an extraordinary security character which is going to become the mainstream encrypti...
详细信息
ISBN:
(纸本)9781665430302
This paper presents a novel video steganography scheme based Post-Quantum Cryptography encryption. The Post-Quantum Cryptography has an extraordinary security character which is going to become the mainstream encryption algorithm for next generation. Meanwhile, the video encoding bit-stream has a few available information redundant that could hide extra messages with small alterations. The proposed scheme combined merits above, it aims at practical engineering applications like uav video detection, emergence image communication, etc. We made an example experiment with consideration of the information security and the image adaptation. The sample results show that it has excellent visual invisibility and huge messages inserting capacity as expected. And it is an innovative exploration in steganography and cryptography as well.
In this paper, a novel methodology for semantic classification of airborne laser scanning point clouds is introduced in this paper. A two-stage framework integrating point-based classification and cluster-based rules ...
详细信息
In this paper, a novel methodology for semantic classification of airborne laser scanning point clouds is introduced in this paper. A two-stage framework integrating point-based classification and cluster-based rules is proposed with a general end to end processing scheme, which is from scattered airborne laser scanning(ALS) data to points with semantic labels. In the first stage, energy function consists of a point-wise-based soft labelings term obtained by random forest classifier and a spatially smooth labelling term. Then, a constrained mean-shift-based clustering algorithm combined with sematic rules is proposed to refine the hard labelings of class-wise point clouds, which can be as a post-processing stage. To verify the effectiveness of our method, the classification results derived for an ALS benchmark dataset are shown in Section 3. Base on the semantic classification results, the twostage framework can be demonstrated with high accuracy and high plausibility in comparison to some classic approaches.
Using the traditional swarm intelligence algorithm to solve the cooperative path planning problem for multi-uavs is easy to incur the problems of local optimization and a slow convergence rate.A cooperative path plann...
详细信息
Using the traditional swarm intelligence algorithm to solve the cooperative path planning problem for multi-uavs is easy to incur the problems of local optimization and a slow convergence rate.A cooperative path planning method for multi-uavs based on the improved sheep optimization is proposed to tackle ***,based on the three-dimensional planning space,a multi-uav cooperative cost function model is established according to the path planning requirements,and an initial track set is constructed by combining multiple-population *** an improved sheep optimization is proposed and used to solve the path planning problem and obtain multiple cooperative *** simulation results show that the sheep optimization can meet the requirements of path planning and realize the cooperative path planning of *** with grey wolf optimizer(GWO),improved gray wolf optimizer(IGWO),chaotic gray wolf optimizer(CGWO),differential evolution(DE)algorithm,and particle swam optimization(PSO),the convergence speed and search accuracy of the improved sheep optimization are significantly improved.
In this paper, a novel methodology for semantic classification of airborne laser scanning point clouds is introduced in this paper. A two-stage framework integrating point-based classification and cluster-based rules ...
In this paper, a novel methodology for semantic classification of airborne laser scanning point clouds is introduced in this paper. A two-stage framework integrating point-based classification and cluster-based rules is proposed with a general end to end processing scheme, which is from scattered airborne laser scanning (ALS) data to points with semantic labels. In the first stage, energy function consists of a point-wise-based soft labelings term obtained by random forest classifier and a spatially smooth labelling term. Then, a constrained mean-shift-based clustering algorithm combined with sematic rules is proposed to refine the hard labelings of class-wise point clouds, which can be as a post-processing stage. To verify the effectiveness of our method, the classification results derived for an ALS benchmark dataset are shown in Section 3. Base on the semantic classification results, the two-stage framework can be demonstrated with high accuracy and high plausibility in comparison to some classic approaches.
The original version of this article unfortunately contains mistakes. Below are the corrections: 1) In Equation 9, a “minus (-)” sign is missing in the second line and a “less-than or equal to (≤)” sign was captu...
The original version of this article unfortunately contains mistakes. Below are the corrections: 1) In Equation 9, a “minus (-)” sign is missing in the second line and a “less-than or equal to (≤)” sign was captured in the third line instead of the correct “less than sign (<)”.
Focusing on the signal-to interference-plus-noise ratio (SINR) maximization in colocated multiple-input multiple-output (MIMO) radars, using the covariance matrix design of transmitted waveforms, we propose a kind of ...
详细信息
ISBN:
(纸本)9781538646595
Focusing on the signal-to interference-plus-noise ratio (SINR) maximization in colocated multiple-input multiple-output (MIMO) radars, using the covariance matrix design of transmitted waveforms, we propose a kind of transmit covariance matrix (TCM) R_(pm) with the form of symmetrical Toeplitz matrix, whose full rank characteristic firstly can sufficiently exploit the waveform diversity advantage of MIMO radar to further suppress the maximum number of interfering sources. Meanwhile, the positive semi-definition characteristic of sin((π/2)R_(pm)) guarantees that these TCMs can be synthesized with binary phase shift keying (BPSK) waveforms in closed form. Furthermore, employing certain proposed TCM, higher SINR level can be yielded, and lower sidelobe levels (SLLs) can be obtained for the unwanted sidelobe interference suppression. Simulation results validate the better performance of our proposed TCMs in comparison with the phased array, omnidirectional MIMO radar and the recently proposed TCMs.
暂无评论