Ship detection
Ship Detection from Satellite Images Using Support Vector Machine
... Ship detection from satellite imagery is very important, with a wide array of applications in areas such as fishery management, vessel traffic ...the ship usually suffers from issues such as weather ...
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A Coarse-to-Fine Approach for Ship Detection in SAR Image Based on CFAR Algorithm
... for ship detection is developed by using parameter estimation and clutter pixel value ...distribution. Detection results show that the proposed algorithm is effective in identifying meaningful region ...
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Machine Learning Based Ship Detection for Coastal Surveillance
... strong Ship Detection structure for beach front ...powerful Ship recognition framework dependent on Synthetic-opening Radar (SAR) satellite ...
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Statistical Real-time Model for Performance Prediction of Ship Detection from Microsatellite Electro-Optical Imagers
... (For ship detection, we assume that cloud masking algorithms have been applied prior to detection [21, ...the ship, making their detection with low-resolution sensors ...curve ...
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Smart Ship Detection using Transfer Learning with ResNet
... on ship detection using satellite images is to detect ships with high ...Since ship detection methods are used in extremely sensitive matters needing very precise result, accuracy is one of ...
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Ship Detection Framework Based on Deep Learning Network
... object detection framework has become more and more mature, but for ship detection, to avoid maritime traffic accidents, we hope that the detection of ship objects should be faster and ...
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Ship Detection in SAR Image Based on Information Geometry Method
... automate detection and identification of suspicious or non-collaborative ships, facilitating decision making, and reducing the response time of authorities ...[2]. Ship detection belongs to the ...
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ANALYSIS OF INVARIANT FEATURE BASED MULTISTAGE CLASSIFIER FOR COMPRESSED-DOMAIN SHIP DETECTION AND RECOGNITION
... Abstract- Ship detection from satellite imagery is a valuable tool for the identification of illegal oil spills and monitoring maritime traffic in the fisheries, and the commercial transportation ...of ...
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Synthetic Aperture Radar Ship Detection Using ModifiEd Gamma Fisher Metric
... of ship detection, many SAR-based algorithms have been proposed recently [4, ...of ship detection in SAR images: adaptive threshold algorithms for ship detection and feature ...
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Moving ship detection for unmanned aerial vehicle using atom processor for camera vision
... object detection is a crucial part within these applications and has become an important research area in computer vision to ensure the minimization of using human control and having a faster ...how ship ...
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MAXIMIZED RESULT RATE JOIN ALGORITHM
... intruded ship in the region under control is included in our ...traditional ship detection methods which can monitor a large area ...for ship intrusion detection have been simulated ...
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Marine vessel recognition by acoustic signature
... Initially, techniques used for automatic ship detection have been based on the extraction of features in the frequency domain by using Fourier fast transform (FFT) [4-10]. An example of this is found in ...
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Analysis of the ship target detection in high resolution SAR images based on information theory and Harris corner detection
... target detection and it has obtained some good ...a ship detection method in SAR images based on visual attention model according to the prior knowledge that ships are in the water region rather than ...
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Investigation of ship-bank, ship-bottom and ship-ship interactions by using potential flow method
... Figure 5 compares the wave elevations obtained from dif- ferent methods. The wave gauge is located 0.02m away from the vertical bank. It can be observed that the agree- ment between the present predictions and the ...
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A container dispatching system for river ports based on distributed intelligent agent
... module, ship management module, yard allocation module, transtainer dispatching module, truck dispatching module, gate management module and operation management ...
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Object detection algorithm for unmanned surface vehicle using faster R-CNN
... The powerful advantage of CNN is that it can classify objects by generalizing same labelled objects into one category, although they have various appearances. It can be proved clearly if the experiment is carried out on ...
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Sea-skyline-based image stabilization of a buoy-mounted catadioptric omnidirectional vision system
... Skyline detection primarily aims to estimate aircraft attitude [23]; this algorithm is based on the color difference between the sky and land via the use of RGB- weighted binarization segmentation to obtain the ...
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Study on the Early Warning Model of VTS Based on Dynamic Ship Domain
... A ship collision early warning model is established on the basis of that ship domain, which properly enlarges the horizontal plane of the ship domain model and adds the collision-judging[r] ...
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Concepts of folly in English Renaissance literature : with particular reference to Shakespeare and Jonson
... BARCLAY'S SHIP OP FOOLS; TILE FOLLY TRADITION 1... of the Ship of Fools to Erasmus'.[r] ...
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Ship Intrusion Detection Using Accelerometer and Temperature Sensor
... (Radio Detection And Ranging) method is used to detect the intrusion of ...the detection of the ships, and especially small ...the ship during bad weather ...achieves detection ranges up to ...
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