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[PDF] Top 20 Target detection and recognition in SAR imagery based on KFDA

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Target detection and recognition in SAR imagery based on KFDA

Target detection and recognition in SAR imagery based on KFDA

... original SAR images or sub-images as ...for SAR images are ...in SAR images using the peak ...different recognition results since each feature may not be valid in a certain ... See full document

22

Target detection and recognition in SAR imagery based on KFDA

Target detection and recognition in SAR imagery based on KFDA

... in SAR image applications. By analyzing the mathematical principles of KFDA and relevant features of vehicles, we proposed a vehicle detection method based on KFDA and a vehicle ... See full document

23

A novel visual attention method for target detection from SAR images

A novel visual attention method for target detection from SAR images

... automatic target detection and recognition ...for SAR target detection, comprising a bottom-up stage and top-down ...improved based on the difference between SAR ... See full document

13

A REVIEW ON AUTOMATIC TARGET RECOGNITION AND DETECTION IMAGE PREPROCESSING APPROACHES FOR SAR IMAGES

A REVIEW ON AUTOMATIC TARGET RECOGNITION AND DETECTION IMAGE PREPROCESSING APPROACHES FOR SAR IMAGES

... change detection (PBCD), the object-based change detection (OBCD), and therefore the hybrid change detection ...flood detection with multi temporal SAR information as associate ... See full document

9

Double Weight-Based SAR and Infrared Sensor Fusion for Automatic Ground Target Recognition with Deep Learning

Double Weight-Based SAR and Infrared Sensor Fusion for Automatic Ground Target Recognition with Deep Learning

... for SAR-IR-based target ...the SAR and IR image acquisition scenario is very important for enhancing the recognition performance, as shown in Figure 2a, which shows the scenario of ... See full document

24

Sea Ice SAR Imagery Classification and Regression Based On Convolutional Neural Networks

Sea Ice SAR Imagery Classification and Regression Based On Convolutional Neural Networks

... There is an interesting common phenomenon that has been observed from many deep CNNs trained on natural images. Typically, simple features, such as Gabor features, edges, and color blobs are learned at the first few ... See full document

92

Target recognition for synthetic aperture radar imagery based on convolutional neural network feature fusion

Target recognition for synthetic aperture radar imagery based on convolutional neural network feature fusion

... feature based solutions encode the SAR image by a set of attributes that are sufficiently descriptive to achieve target classification under various ...features based on Krawtchouk moments 29 ... See full document

32

Parameter estimation for SAR micromotion target based on sparse signal representation

Parameter estimation for SAR micromotion target based on sparse signal representation

... typical SAR micromotion targets include ground/ship-borne search antennas for air traffic control/surveillance [1], rotor blades of hovering heli- copters, and vibrating vehicles as well as their tires/ ...in ... See full document

9

Target Recognition in SAR Image via Keypoint based Local Descriptor—Foundation

Target Recognition in SAR Image via Keypoint based Local Descriptor—Foundation

... lowest recognition accuracy, even ...keypoint detection and feature ...of detection maps generated by ‘Fast-Hessian’ and the prototype of Hessian ...in target imaging region. They are ... See full document

13

A new algorithm of SAR image target recognition based on improved deep convolutional neural network

A new algorithm of SAR image target recognition based on improved deep convolutional neural network

... stages: detection [1, 2], recognition, and ...of SAR-ATR include template matching [3], support vector machine (SVM)[4], Linear interpolation [5] Principal Component Analysis [6, 7], multi-modal ... See full document

17

A Review on Automatic Target Recognition and Detection Image Preprocessing Approaches for SAR Images

A Review on Automatic Target Recognition and Detection Image Preprocessing Approaches for SAR Images

... ship detection in high- resolution SAR ...candidate target regions. Then, a dynamic constant-false-alarm-rate-based contour saliency model (CSM) is planned to step by step filter the false ... See full document

7

Ship Detection in SAR Image Based on Information Geometry Method

Ship Detection in SAR Image Based on Information Geometry Method

... in SAR target ...are based on assumptions about the background statistics which do not include the changes speckle filtering brings about, but they are suitable (in practice) for speckle filtered ... See full document

10

Target-Aided SAR Image Intelligent Compression

Target-Aided SAR Image Intelligent Compression

... automatic target recognition (ATR) system or by image interpreters to provide critical and timely information to field ...where target areas are extracted by an external on-board ATR algorithm and ... See full document

18

Application of Local Supervised Feature Selection Approach to Target Detection in Hyperspectral Imagery

Application of Local Supervised Feature Selection Approach to Target Detection in Hyperspectral Imagery

... Constrained energy minimization (CEM)-based constrained band selection (CCBS) (Chang & Wang, 2006) also exploits the CEM detector to select the bands. In this unsupervised filter method, each band vector is ... See full document

11

Target detection using oblique hyperspectral imagery: A Domain trade study

Target detection using oblique hyperspectral imagery: A Domain trade study

... for target detection when dealing with HSI that has been collected from off- nadir viewing ...developed based on the assumption that the sensor is approximately directly overhead of the scene at the ... See full document

139

A review on shoreline detection based on satellite imagery

A review on shoreline detection based on satellite imagery

... temporal and radiometric (Campbell, 2002). Spatial resolution represents the ability of the instruments to detect and distinguish small objects and fine details in a larger object. While, spectral resolution is defined ... See full document

6

SAR Imaging of Moving Target Based on Quadratic Phase Function

SAR Imaging of Moving Target Based on Quadratic Phase Function

... In this paper, we introduce Quadratic Phase Function algorithm to estimate the parameters of the LFM signal and propose a new algorithm for moving targets imaging, which can acquire an exact SAR image even under a ... See full document

5

Hyperspectral Imagery Target Detection Using Improved Anomaly Detection and Signature Matching Methods

Hyperspectral Imagery Target Detection Using Improved Anomaly Detection and Signature Matching Methods

... anomaly detection is viewed in this light, it would seem natural that the numerous outlier detection methods and principles proposed in the statistical literature are applicable to finding hyperspectral ... See full document

390

Target vibration estimation in SAR based on phase analysis method

Target vibration estimation in SAR based on phase analysis method

... An efficient vibration estimation method for synthetic aperture radar (SAR) systems based on phase-analysis method is presented. Small vibrations, which consist of multiple frequency components and are ... See full document

11

Edge Detection in Polarimetric SAR Image based on Bandelet Transform

Edge Detection in Polarimetric SAR Image based on Bandelet Transform

... primarily based on Roy’s largest eigen value method or Wishart likelihood-ratio test (Wishart-LRT) ...transform based techniques have became popular. A two-scale line detection method was proposed in ... See full document

6

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