automatic target recognition algorithm
Automatic Target Recognition in Synthetic Aperture Sonar Images Based on Geometrical Feature Extraction
... potential target is done, its edge closer to the sonar is extracted by analyzing the ...simple algorithm for discarding most of the ripples and elements of topography can be applied: the maximum of every ...
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Pseudo-Zernike based multi-pass automatic target recognition from multi-channel SAR
... dence target identi fi cation and multi-observation fusion capabilities without the requirement of a multi-platform training ...the algorithm robust with respect to the relative target orientation in ...
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Robust principal component analysis for micro-doppler based automatic target recognition
... the algorithm used to generate feature vectors from each observation of micro-Doppler data, the following stage in the feature extraction process is the application of PCA for dimensionality reduction of fea- ...
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Kernel generalized neighbor discriminant embedding for SAR automatic target recognition
... extraction algorithm in synthetic aperture radar automatic target recognition (SAR ATR), called generalized neighbor discriminant embedding ...this algorithm is also proposed, called ...
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Local feature based automatic target recognition for future 3D active homing seeker missiles
... oriented algorithm [19] and the SPR ...– target engagement scenario. In addition, as the target becomes sparse or noisy, the Spin Image based algorithm performance degrades ...
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A REVIEW ON AUTOMATIC TARGET RECOGNITION AND DETECTION IMAGE PREPROCESSING APPROACHES FOR SAR IMAGES
... unsupervised algorithm-level fusion theme (UAFS- HCD) during this paper to enhance the accuracy of PBCD exploitation abstraction context info through: 1) obtaining the preliminary modification mask with PBCD ...
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SAR Automatic Target Recognition Based on Deep Convolutional Neural Networks
... back-propagation algorithm with momentum acceleration strategy is used to learn the network weights in a supervised ...Stationary Target Acquisition and recognition) ...correct recognition ...
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Concave-convex local binary features for automatic target recognition in infrared imagery
... This paper presents a novel feature extraction algorithm based on the local binary features for automatic target recognition (ATR) in infrared imagery. Since the inception of the local binary ...
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Automatic Target Recognition (ATR) System using Recurrent Neural Network (RNN) for Pulse Radar
... We have not considered false alarms in this particular data set. To detect the range bins for targets, we have non-coherently integrated all of the Doppler bins to get a single column of total power vs. range. Then we ...
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Radar HRRP Target Recognition Using Multi-Kfd-Based Lda Algorithm
... radar automatic target recognition ...DFE algorithm, namely, multi-KFD-based linear discriminant analysis ...parallel algorithm is constructed for feature extraction, and then the ...
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3D Automatic Target Recognition for Future LIDAR Missiles
... 3D recognition problem into three 2D ...per target are reduced to the minimum of one pose per target, which is considered as a massive reduction compared to a multi pose and multi azimuth approach ...
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Face Recognition using VIOLA JONES Algorithm
... Face identification is the initial step to any completely confront acknowledgment, confront restriction, confront appearance acknowledgment framework, and so forth. In this way confront recognition has been ...
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An Approach for Automatic Detection of Vehicle License Plate and Character Recognition Using Classification Algorithm
... The description of normalized character is based on its external characteristics because we deal only with properties such as character shape. Then, the vector of descriptors includes characteristics such as number of ...
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Communication and database modules for automatic data acqusition
... Robotic Total Station or Robotic Tachometry System (RTS) are widely used for surveying purpose and solution. From surveyor to archeologist, professionals used RTS to solve many problems in data collection such as mapping ...
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Evaluating 3D local descriptors for future LIDAR missiles with automatic target recognition capabilities
... For the 1 2 case, most robust are HoD and HoD-S followed by 3DSC due to neglecting the prone to perturbations LRF [2]. For the 1 8 case all competitors except HoD and HoD-S fail to gain an appealing performance because ...
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A Review On Different Feature Recognition Techniques For Speech Process In Automatic Speech Recognition.
... an algorithm with is used to identify or compute the resemblance among two sequences which might be varying with respect to time or ...apt algorithm to match sequences with lost information , on a condition ...
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A Novel Method for Identifying the Keyless Authentication Entry System using Mobile for Auto Mobiles (CAR)
... When a voice signal is detected, the speech recognizer is triggered to process the signal. The detection of voice signals can be performed by traditional voice activity detection (VAD) methods. This approach, however, ...
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Detecting Musk Thistle (Carduus nutans) Infestation Using a Target Recognition Algorithm
... A wide range of sensor systems, including aerial photographs, airborne and satellite multispectral and hyper- spectral images have been successfully utilized for mapping the distribution of certain plant species ...
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Investigation into the limitation of measuring to 360 Degree prisms using automatic target recognition technology
... Automatic Target Recognition has been around since 1992 and during this time a number of concerns with the system have been ...the target/prism is not correctly pointed at the instrument it ...
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Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network
... automatically identify the nodule location while deter- mining whether the nodule is benign or malignant. This capability enables the thyroid nodule detection and rec- ognition system to be embedded in an ultrasound im- ...
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