[PDF] Top 20 Target Recognition in SAR Image via Keypoint based Local Descriptor—Foundation
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Target Recognition in SAR Image via Keypoint based Local Descriptor—Foundation
... detected target belongs by the knowledge learned from the ...patter recognition in radar ...the target type, whose output is the probability of the class label taking one each of the possible ... See full document
13
A Review on Automatic Target Recognition and Detection Image Preprocessing Approaches for SAR Images
... a target prescreening methodology that employs the amendment detection technique for automatic target recognition in synthetic aperture microwave radar (SAR) ...inventive SAR ... See full document
7
A new algorithm of SAR image target recognition based on improved deep convolutional neural network
... DCNN-based SAR-ATR system is being gradually proposed. To auto-learn features of SAR images rapidly, general methods start with the framework of AlexNet ...and recognition accuracy are ... See full document
17
A REVIEW ON AUTOMATIC TARGET RECOGNITION AND DETECTION IMAGE PREPROCESSING APPROACHES FOR SAR IMAGES
... input SAR image creates a very high process load because of its high resolution and also the presence of assorted litter sorts and ...the SAR knowledge progresses throughout the SAR-ATR ... See full document
9
Target detection and recognition in SAR imagery based on KFDA
... For SAR target recognition, the differences between each class of vehicle are subtle and highly localized in few ...angle, target configurations and obscuration due to occlusion and ...of ... See full document
22
SAR target recognition based on improved joint sparse representation
... physical target share a common pattern in their sparse representation coefficient vector with respect to the same dictionary is ...inputting SAR images are the same for multiple-view SAR images, ... See full document
12
Target-Aided SAR Image Intelligent Compression
... automatic target recognition (ATR) system or by image interpreters to provide critical and timely information to field ...Conventional image compression algorithms introduce distortion by ... See full document
18
Radar Target Recognition using Salient Keypoint Descriptors and Multitask Sparse Representation
... is based on the multiple salient keypoint descriptors (MSKD) and multitask sparse representation based classification ...the target area (salient ...the recognition, we adopt the MSRC ... See full document
15
SAR Automatic Target Recognition Based on Deep Convolutional Neural Networks
... light image and speech recognition ...by SAR image classification tasks on the standard benchmark of MSTAR (Moving and Stationary Target Acquisition and recognition) ...correct ... See full document
9
SAR Image Target Classification: A Feature Fusion Approach
... (SAR) target recognition has become an essential research area for many fields such as surveillance and ...task.Automatic target recognition (ATR) manages the utilization of computer ... See full document
5
SIFT-based local spectrogram image descriptor: a novel feature for robust music identification
... as image retrieval [25,26] and object recognition ...keypoints based on their descriptors to form a musical feature for genre ...of local spectrogram patches by combining a corner detector ... See full document
15
FACE RECOGNITION: A HYBRID APPROACH USING EIGENFACES AND KEYPOINT DESCRIPTOR
... Face recognition methods have many challenges like change in illumination, pose, scale, rotation that causes major changes the ...holistic based approach and feature based ...and local ... See full document
11
Analysis on the Azimuth Shift of a Moving Target in SAR Image
... for SAR, including their detection, imaging and relocation, ...moving target is as follows: we first suppress the surrounding stationary clutter and then detect it before imaging, and finally relocate it to ... See full document
14
Removal and injection of keypoints for SIFT-based copy-move counter-forensics
... an image whose authentic keypoints have been previously ...an image with too few keypoints is per se a clue of counterfeit, which can be used to reveal the removal ...original image and, particu- ... See full document
12
Learning How to Extract Rotation-Invariant and Scale-Invariant Features from Texture Images
... Although many of these techniques obtained good results, most of them have not been widely evaluated in noncontrolled environments, which may be characterized by texture images having (1) small interclass variations, ... See full document
15
Seismic Damage Recognition Based on Watershed Segmentation of SAR Image Texture Features
... method based on watershed segmentation, This method uses the watershed segmentation algorithm to segment the texture feature and get the texture feature after obtaining the optimal texture feature, Then, the ... See full document
14
DTCTH: a discriminative local pattern descriptor for image classification
... high-level image representa- tion ...high-level image representation named as object bank (OB) which describes an image as a scale-invariant response map of a large number of pre-trained generic ... See full document
24
Identification of Textile Defects Based on GLCM and Neural Networks
... computer image analysis applications such as classification, detection, or segmentation of ...made based on three different approaches: statistical, spectral, and model based ... See full document
8
SAR Image Despeckling via Bivariate Shrinkage Based on Directionlet Transform
... efficient SAR image despeckling algorithm based on Directionlet transform using bivariate shrinkage is proposed to remove speckle noise while preserving the structural features and textural ... See full document
8
Performance Analysis of Tracking on Mobile Devices using Local Binary Descriptors
... other descriptor there does not seem to be any clear ...SBRIEF descriptor is not the most robust on any of the videos; however, it is important to note that it is not much worse than the other comparable ... See full document
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