target detection algorithm
A Soft-Input Soft-Output Target Detection Algorithm for Passive Radar
... of target presence based on its received signal and the prior information received from a central ...posterior target probabilities are transmitted to the central processor, where they are combined, to be ...
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Development of moving target detection algorithm using ADSP TS201 DSP Processor
... Automatic Target Detection capability is becoming increasingly important to the Defense ...recognize target characteristics automatically, with minimum possible human ...Hence target ...
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Comparison of Hyperspectral Imagery Target Detection Algorithm Chains
... Introduction Image Atmospheric Compensation Dimensionality / Noise Reduction Known Target Preprocessed Reflectance Image Vector Background Characterization Endmember Selection Covariance[r] ...
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Parameter Adjustment for a Dynamic Programming Track-before-Detect-Based Target Detection Algorithm
... This paper has presented a system for the tracking of a dim point target in an IR sequence using the DPA approach. The developed DPA formulation and parameters have been discussed and a metric was introduced as ...
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The reviewe of the Camshift algorithm and its improved algorithm of target tracking research
... of target tracking, Camshift algorithm [1] because of the small amount of calculation, easy to operate, high real-time performance and the advantages of adaptive change of the target window size and ...
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Analysis of the ship target detection in high resolution SAR images based on information theory and Harris corner detection
... ship target detection algorithm based on information theory and Harris corner detection for SAR images is proposed in this ...global detection and a weighed entropy-based local ...
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Performance Optimizations for an Automatic Target Generation Process in Hyperspectral Analysis
... the target detection algorithm that will be efficiently im- plemented in parallel: the ATGP algorithm [4], it was created to find spectral signatures using orthogonal ...the algorithm ...
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Hybrid High-Fidelity Modeling of Radar Scenarios using Atemporal, Discrete Event, and Time-Step Simulation
... Target detection algorithm utilizing the square law detector assumes a constant RCS. This work was extended by Peter Swerling to four distinct cases of target RCS fluctuation [9]. We apply ...
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Signal Contamination Model for Adaptive Detection Performance of Local Anomalies in Hyper-spectral Images
... small-target detection algorithm in infrared image is proposed, which predicts and eliminates the complex background clutter by a kernel-based nonparametric regression model and obtains residual ...
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SAR image target detection in complex environments based on improved visual attention algorithm
... novel target detection algorithm for synthetic aperture radar (SAR) images based on an improved visual attention method is proposed in this ...technology, target detection algorithms ...
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Infrared Dim Small Target Detection Technology Based on RPCA
... small target detection algorithm based on robust master analysis (RPCA) is proposed to solve the problem of small target difficult to detection in single infrared ...the target ...
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MODELING AND SIMULATION OF GRID CONNECTED PHOTOVOLTAIC DISTRIBUTED GENERATION SYSTEM
... In target detection algorithm based on video, re-construction and updating of background image are crucial in accurate localization of vehicles using background image ...complex algorithm. ...
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A Database-Based Two-Phase Algorithm for Efficient and Complete Detection of siRNA Off-Target Homology
... The fact that there are only four different nucleotides in DNA sequences (let’s use DNA as the example as the RefSeq database is for DNA) inspired us to develop a base-4 integer number system to represent DNA sequences. ...
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Cancer detection & prediction using dual hybrid algorithm
... the algorithm on the basis of malignant or benign ...the algorithm will then be applied on the data to give the results and output of the current ...
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A New Detection Algorithm Based on CFAR for Radar Image with Homogeneous Background
... Several well known examples of CFAR processor are “cell averaging” (CA) CFAR, “greatest of” (GO) CFAR, and “smallest of” CFAR [2, 3]. In these well known processors, the CA-CFAR processor is acknowledged as the optimum ...
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Design and Implementation of Dynamic Target Tracking with Stereo Vision System
... Fig. 1 shows the experimental setup of two wheeled mobile robot (WMR) in an intelligent space. The overall system includes the following three parts: two mobile robots (one is including two DC motors, one microprocessor, ...
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Visual attention model based vehicle target detection in synthetic aperture radar images : a novel approach
... The innovative aspects of our algorithm comprise the following: original application of VAM in vehicle target detection for SAR images; Adaptation of the powerful Itti model for SAR imag[r] ...
25
An Efficient Target Tracking Algorithm Based on Particle Filter and Genetic Algorithm
... the target in the frames from 80 to 100 where the object is under partial cover, but after a while, the target is not detected due to the complex ...
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Target estimation algorithm design using quantity data and target feature
... estimation algorithm is the key technique for multiple-target tracking ...Once target measurements are received, an important process denoted data association must be applied to determine the exact ...
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Aptasensors for rapid detection of Escherichia coli O157:H7 and Salmonella typhimurium
... bacteria detection, which greatly reduces the time compared with conventional bacterial cultivation and other rapid detec- tion methods ...The detection limit (10 5 CFU/ml) was significantly lower [25,26] ...
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