Target Detection with APTD Algorithm in Outdoor Imagery
Target detection in clutter for sonar imagery
... inference algorithm based on a‹ne spaces, which only depends on a few parameters, we showed that the characterisation of the seabed is excellent and that it remains as good across a wide range of ...sonar ...
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Analysis of Target Tracking Algorithm in Thermal Imagery
... ABSTRACT Target tracking plays a vital role in the development of battlefield surveillance, airspace surveillance and Border ...infrared imagery in target tracking prevents from a wide range of ...
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Target detection and recognition in SAR imagery based on KFDA
... our detection method does not need any prior information and avoids the difficulty of selecting features and extracting advanced features, which proves the advantages of introducing KFDA into ...CFAR ...
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Target detection and recognition in SAR imagery based on KFDA
... vehicle detection method based on KFDA and a vehicle recognition method based on the improved ...our detection method does not need any prior information and avoids the difficulty of selecting features and ...
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AN AUTOMATED VISIBILITY DETECTION ALGORITHM UTILIZING CAMERA IMAGERY
... furthest target that they could see ...analysis algorithm was then employed to detect those specific targets within the ...an algorithm robust to be able to recover from sign blockage or damage (if a ...
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Hyperspectral Imagery Target Detection Using Improved Anomaly Detection and Signature Matching Methods
... to detection by the BACON or FAST-MCD ...outlier detection method is not a new ...k-means algorithm—in an attempt to minimize the effect of outliers on the clustering ...clustering algorithm. ...
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Target detection in synthetic aperture radar imagery: a state-of-the-art survey
... the detection methods is ...the detection module are comprehensively ...various detection strategies that fall under the expert-system-oriented ...SAR imagery are care- fully chosen, and ...
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Novel Pattern Recognition Techniques for Improved Target Detection in Hyperspectral Imagery
... SVDD target training ...vector-based algorithm is the potential for small sample-sizes for the training sets with respect to the dimensionality of the ...
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Application of Local Supervised Feature Selection Approach to Target Detection in Hyperspectral Imagery
... supervised target- background separation ratio is proposed by (Xu, Du, & Younan, 2017) to improve ...(DBSCAN) algorithm (Ester, Kriegel, Sander, & Xu, ...
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Multiple-target tracking using spectropolarimetric imagery
... this target is a new one; otherwise, it is corrected with the prior tracking ...no detection to update one track in three-adjacent frames, this track is given ...
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Scattering Models in Remote Sensing: Application to SAR Despeckling and Sea Target Detection from GNSS-R Imagery
... In this Section, the proposed sea target detection algorithm is tested with actual UK TDS-1 DDMs and some preliminary results are shown. Or- bital and sensor parameters are listed in Table 6.4. In ...
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A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery
... kernel-based detection algorithms the data is assumed to be implicitly mapped into a high-dimensional kernel feature space by a nonlinear mapping, which is associated with a kernel ...each detection ...
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Comparison of Hyperspectral Imagery Target Detection Algorithm Chains
... AFAR) graphs for the VF1 target that employed the ACORN atmospheric compensation algorithm and the OSP matched filter... ROC Curves and AFAR Data[r] ...
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A manifold learning approach to target detection in high-resolution hyperspectral imagery
... hyperspectral imagery (HSI) supply image data that characterizes the scene both spatially and spectrally, allowing images to be analyzed on a material level that goes beyond visual ...
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Target detection using oblique hyperspectral imagery: A Domain trade study
... viewable target surface orientations in the oblique case it is not as ...the target space generation ...in target-sensor path length accounted ...the target-sensor path distance as this can be ...
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A Novel Algorithm for Railway Tracks Detection using Satellite Imagery
... track detection is one of the emergent areas in image processing as railways are a major transport source in today’s ...mostly target these portions of the country and in the consequence of their actions ...
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Target Detection in Images Using Dynamic Threshold Algorithm
... KEYWORDS: Target Detection, Dynamic Threshold, Mathematical Morphology, ...NTRODUCTION Target detection refers to the detection of the required target image in the given input ...
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Constant False Alarm Rate Target Detection in Synthetic Aperture Radar Imagery
... decades. Detection of targets faces two major problems namely, first, how to remotely acquire high resolution images of such targets, second, how to efficiently extract information regarding features of ...
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Automatic Cloud Detection and Removal Algorithm for MODIS Remote Sensing Imagery
... MODIS imagery is an important issue for wide application of remote sensing ...automatic algorithm of cloud detection and removal is proposed in this ...
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CHOOSING THE MOST ACCURATE THRESHOLDS IN A CLOUD DETECTION ALGORITHM FOR MODIS IMAGERY
... the algorithm largely underestimated the cloud frequencies over some regions when using a threshold of ...the algorithm output for four regions of the world, we found that the algorithm ...
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