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Experimental tests on the SAR Ship Detection Dataset (SSDD) show that the proposed method achieves an average precision of 97.45% with a parameter size of 3.31 MB and a model size of 4.35 MB, and its detection performance is ahead of most current SAR ship detection algorithms.
The purpose of this paper is to study the ship-sea contrast based on SIR-C data and to present the optimal frequency and polarization for SAR detection of ship.
Optimal SAR parameters for ship detection ; Article #: ; Date of Conference: 29-29 July 2005 ; Date Added to IEEE Xplore: 14 November 2005.
Model using 640×640 image size achieved the highest accuracy of 96.59%. Abstract. Using satellite-based SAR (Synthetic Aperture Radar) imagery to detect and ...
You will help determine ship congestion by detecting ships in Synthetic Aperture Radar (SAR) imagery and you'll use the result to generate a vessel density map.
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Jan 15, 2024 · The batch setting is 16 and the maximum number of iterations is 300 to find the best model parameters. The loss function, which used for ...
Jun 26, 2024 · It firstly models the pixel distribution of the SAR image, and then calculates the model parameters. ... optimization of model parameters by ...
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Nov 26, 2024 · Therefore, SAR-based ship detection becomes essential for naval surveillance in marine traffic management, oil spill detection, illegal fishing, ...
The objective of this paper is to assess the sub-aperture analysis for ship detection using airborne polarimetric SAR data. Three optimal non-normalized ...
As SAR images are not easily accessed, the deep learning-based detection method cannot be used for SAR ship detection at the beginning. This problem was solved ...