An adaptive CFAR algorithm for real-time hyperspectral target detection[J].Spie 2008,6966.Ensafi E and Stocker AD (2008) An adaptive CFAR algorithm for real-time hyperspectral target detection, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, Proc. SPIE....
Space-Time Block Coded(STBC) OFDM systemAdaptive equalization receiverBlock RLSII matrixIn this paper, an adaptive equalization algorithm used in Space-Time Block Coded (STBC) OFDM system with Alamouti scheme is proposed. In term of the orthogonal property of Alamouti scheme and the character of ...
An improved Salp Swarm Algorithm has been proposed, which increases population diversity and improves population quality through the good point set strategy and quantum encoding for population initialization; And by using adaptive weights strategy to accelerate convergence speed, and by integrating the dive...
To solve this problem, a robot welding guidance system based on an improved YOLOv5 algorithm with a RealSense Depth Camera was proposed. A coordinate attention (CA) module was embedded in the original YOLOv5 algorithm to improve the accuracy of weld groove detection. The center of the predicted...
to enhance the ability to explore the best outcomes discovered inside the solution space. In the final stage, the classification process utilizes the IBAVO-AO algorithm based on the Xgb-Tree classifier with high detection performance. The effectiveness of the suggested methodology is assessed by ...
2992 A CONTRARIO PARADIGM FOR YOLO-BASED INFRARED SMALL TARGET DETECTION 4762 A CONVERGENT PRIMAL-DUAL DEEP PLUG-AND-PLAY ALGORITHM FOR CONSTRAINED IMAGE RESTORATION 9599 A Counterfactual Inspired Framework for Quantifying Edge Effects on GNNs Fairness 4905 A CROSS SEARCH METHOD FOR DATA AUGMENTATION IN...
Aiming at improving the performance of scale invariant feature transform (SIFT) algorithm during the registration of optical and synthetic aperture radar (SAR) images, a new SIFT algorithm is proposed. Firstly, the nonlinear diffusion scale space of optical and SAR images is constructed by using non...
The CCAM-Person model utilizes the YOLOv8 detection algorithm to perform real-time localization and recognition of human targets in the image. At the same time, it applies a binary classification-like approach to detect all possible human keypoints in the image. Finally, a post-processing operati...
Table 1: Search space and supernet structure. The search pipeline of the proposed LightTrack is shown in Figure 13. It consists of three phases: pretraining the backbone supernet, training the tracking supernet, and searching with an evolutionary algorithm ...
The iterative solving algorithm used for the training of the implemented CE-BiGAN, LS-BiGAN and LS-CycleGAN models is Adam [66], while the W-BiGAN is trained by using the RMSprop solver with clipping threshold set to 0.01 [61]. The hyper-parameters of all implemented solvers have been ...