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[PDF] Top 20 A Coarse-to-Fine Approach for Ship Detection in SAR Image Based on CFAR Algorithm

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A Coarse-to-Fine Approach for Ship Detection in SAR Image Based on CFAR Algorithm

A Coarse-to-Fine Approach for Ship Detection in SAR Image Based on CFAR Algorithm

... Abstract—Among ship detection methods for SAR image, constant false alarm rate (CFAR) is the most important ...operational ship detection approach based on ... See full document

7

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

... correct ship detection in high-resolution SAR ...economical ship detection in high-resolution SAR pictures doable by operating in an exceedingly coarse-to-fine ... See full document

9

Enhanced copy-paste image forgery detection based on archimedean spiral and coarse-to-fine approach

Enhanced copy-paste image forgery detection based on archimedean spiral and coarse-to-fine approach

... matching algorithm, and large feature vector ...pixels image. In fact, computational time in duplicated region detection depends on the following metrics: image size, block size, number of ... See full document

38

Multi-model CFAR detection in FOliage PENetrating SAR images

Multi-model CFAR detection in FOliage PENetrating SAR images

... for CFAR detection of extended target in FOPEN SAR images has been pro- posed using a multimodel ...a CFAR detection algorithm based on LS distribu- ...FOPEN SAR ... See full document

12

A location scale based CFAR detection framework for FOPEN SAR images

A location scale based CFAR detection framework for FOPEN SAR images

... for CFAR detection in FOPEN SAR images has been proposed exploiting a multi-model ...a CFAR detection algorithm based on location-scale and heavy-tailed ...FOPEN ... See full document

5

Coarse-to-fine copy-move image forgery detection method based on discrete cosine transform

Coarse-to-fine copy-move image forgery detection method based on discrete cosine transform

... forgery detection with reduced false-matching rate, and also intends to enhance the performance of the copy-move detection which is to reduce the computational cost of matching, compared to the traditional ... See full document

23

A Novel Method of Ship Detection in High-Resolution SAR Images Based on GaN
 and HMRF Models

A Novel Method of Ship Detection in High-Resolution SAR Images Based on GaN and HMRF Models

... for ship detection in SAR images is how to determine an appropriate probability density function that can model background clutter ...conventional CFAR detectors, is a ... See full document

6

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

... makes ship targets seem to be a lot of structured and formed and however contain several weak echoes in their resolution cells, that brings nice challenges for correct scene ...correct ship detection ... See full document

7

Ship Detection in SAR Image Based on Information Geometry Method

Ship Detection in SAR Image Based on Information Geometry Method

... threshold algorithm is designed to search for pixel values which are unusually bright compared to those in the surrounding ...algorithms, CFAR method is mainly used in SAR target ...used CFAR ... See full document

10

Target detection in complex scene of SAR image based on existence probability

Target detection in complex scene of SAR image based on existence probability

... target detection approach based on the target existence probability in complex scenes of a synthetic aperture radar ...the approach and are labelled into each classified scene by a texture ... See full document

10

Sea-skyline-based image stabilization of a buoy-mounted catadioptric omnidirectional vision system

Sea-skyline-based image stabilization of a buoy-mounted catadioptric omnidirectional vision system

... ramic image due to the nonlinear projection model of the omnidirectional vision system [21]; (2) the sky in view is relatively smooth, causing serious matching er- rors in the stabilization methods for perspective ... See full document

13

Projection-based interpolation and
automatic hp-adaptivity for finite element
discretizations of elliptic and maxwell problems

Projection-based interpolation and automatic hp-adaptivity for finite element discretizations of elliptic and maxwell problems

... latter approach is supported by classical non-adaptive FE codes outfitted with a more sophisticated automatic mesh (re)generator, while the former approach (our present focus) requires considerable ... See full document

15

A Preprocessing Algorithm Based on Heterogeneity Detection for Transmitted Tissue Image

A Preprocessing Algorithm Based on Heterogeneity Detection for Transmitted Tissue Image

... an image and reduce the area where the gray- scale change ...ened image with the Laplacian image may protect the effect of Laplacian sharpening while restoring the background in- ...original ... See full document

10

Parsing TCT with a Coarse to fine Approach

Parsing TCT with a Coarse to fine Approach

... When working with large grammars, it is stand- ard to prune the search space in some way. In the case of lexicalized grammars, the unpruned chart often will not even fit in memory for long sen- tences. Several proven ... See full document

5

An Approach for Cluster Analysis based upon Hierarchical Algorithm – Agglomerative Algorithm

An Approach for Cluster Analysis based upon Hierarchical Algorithm – Agglomerative Algorithm

... Single Linkage Agglomeration Schedule: Table- 3 shows how the cases are clustered together at each stage of the cluster analysis. The clusters are formed by merging cases and clusters; and the process continues, until ... See full document

5

CBMIR: SHAPE-BASED IMAGE RETRIEVAL USING CANNY EDGE DETECTION AND K-MEANS CLUSTERING ALGORITHMS FOR MEDICAL IMAGES

CBMIR: SHAPE-BASED IMAGE RETRIEVAL USING CANNY EDGE DETECTION AND K-MEANS CLUSTERING ALGORITHMS FOR MEDICAL IMAGES

... A Intel® Core 2 Duo CPU Workstation with 2GB RAM computer has been used for conducting the experiments. The main browser tool Mozilla Firefox 4.0 Beta1 version was used for developing User Interface components as front ... See full document

8

Neighbourhood detection and indentification of spatio-temporal dynamical systems using a coarse-to-fine approach

Neighbourhood detection and indentification of spatio-temporal dynamical systems using a coarse-to-fine approach

... effective approach to determining the neighbourhood for CA modelling in a binary space has been proposed by Mei and Billings ...The approach involves thresholding the real valued pattern to produce a binary ... See full document

27

Coarse and fine identification of collusive clique in financial market

Coarse and fine identification of collusive clique in financial market

... proposed approach we proposed, on the other hand, is a fine identification, which is to accurately identify the collusive transactions such as the format of “passing the parcel” that are intended created by ... See full document

31

Pixel Based Sar Image Classification using Random Forest Algorithm

Pixel Based Sar Image Classification using Random Forest Algorithm

... Satellite image Analysis and Categorization The analysis of a satellite image into various synthesized regions, called ‘classes’ is one of the complicated issues [6] in the science of Image ...new ... See full document

6

FACE DETECTION USING PSO TEMPLATE SELECTION

FACE DETECTION USING PSO TEMPLATE SELECTION

... Face detection (FD) has emerged as one of the most extensively studied research topics that spans multiple disciplines such as pattern recognition, signal processing and computer ...of image and video ... See full document

10

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