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This paper proposes an algorithm for the decentralized coalition formation of multiple heterogeneous UAVs that cooperatively perform a search and attack mission to neutralize the static or dynamic ground targets in a highly uncertain region where no prior information is available about the targets, and no centralized communication link with the UAVs is possible. In such cooperative missions, if the...
In cooperative missions, if an individual UAV does not have sufficient resources to neutralize a target then a coalition of UAVs may needs to be formed that fulfills the target resource requirement. This paper proposes an algorithm for the decentralized coalition formation of multiple heterogeneous UAVs that cooperatively perform a search and attack task to neutralize the static ground targets. The...
For the three-phase identification of Solid Oxide Fuel Cell (SOFC) electrode, this paper presents a novel segmentation method based on Gaussian Mixture Model (GMM). A coarseness-entropy adaptive factor is defined to incorporate the spatial information based on Markov Random Filed (MRF) into GMM. Furthermore the proposed method defines can control the trade-off between robustness to noise and effectiveness...
In order to accurately evaluate the microstructure parameters of Solid Oxide Fuel Cell (SOFC) electrode, this paper presents a novel image segmentation method based on Gaussian Mixture Model (GMM) to identify the three phases of electrode optical microscope image. Firstly, the spatial neighbor information is introduced into EM optimization algorithm to constrain the weighted probability distribution...
Saliency computational model with active environment perception can be useful for many applications including image segmentation, image compression, image retrieval, and etc. Conventional saliency computational models rely on handcrafted low level features, such as color or contrast. These models face great difficulties in low lighting scenarios, due to the lack of well-defined feature to interpret...
Blind noisy image quality assessment aims to evaluate the quality of the degraded noisy image without the need for the ground truth image. To tackle this challenge, this paper proposes an image quality assessment approach using block homogeneity. The contribution of the proposed approach is two-fold. First, a block-based homogeneity measure is proposed to estimate the statistics (e.g., variance) of...
This paper presents a novel despeckling algorithm that can be used to enhance image quality in medical ultrasound images. Firstly, the log-transformed images are transformed by dual-tree complex wavelet transform (DTCWT). And then, we use a non-Gaussian statistical model with an adaptive smoothing parameter for ideal image signal in the transformed domain. According to Bayesian theory, the MAP estimator...
Dynamic flight path planning is an important part of UAV mission planning, and it turns out to be a dynamic optimization problem. In this paper, a dynamic flight path planning model is built up. We propose an adaptive immigrant scheme genetic algorithm for this path planning problem. This algorithm could combine the random immigrant scheme and elitism-based immigrant scheme adaptively according to...
This paper presents a method of fixed-point reconnaissance path planning for Unmanned Aerial Vehicle(UAV). In this method, Particle Swarm Optimization(PSO) is introduced into reconnaissance UAV path planning algorithm, and targets value, effective reconnaissance path and other factors that impact UAV path planning are included in the objective function of PSO. The optimal solution of reconnaissance...
In this paper, an effective multi-threshold image segmentation method is proposed based on the measure of an adaptive fuzzy maximum entropy. In the traditional image segmentation algorithms with fuzzy entropy, C-threshold is usually determined by 2*C parameters at least, which are generally searched by a conventional genetic algorithm (GA) or simulated anneal algorithm (SA). Adaptive fuzzy entropy...
A path planning scheme for unmanned combat air vehicle (UCAV) is developed for achieving optimal local path replanning under complicated air-battle environment. Constructing and searching an improved Voronoi diagram based on the locations and grades of the different threats, Dijkstra algorithm is implemented to find an initial threat-avoiding flight path to the target. For matching dynamic battlefield...
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