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By taking into account the imaging mode, incidence angle, and polarization mode of SAR imagery, it implements the adaptive ship candidate detection in spaceborne SAR imagery. Experimental results show that the adaptive ship candidate detection is able to detect ship targets in a fast, efficient and robust way.
ABSTRACT: Synthetic aperture radar (SAR) imagery has proven to be a promising data source for the surveillance of maritime activity, and its.
This paper examines the evolution of automatic target de- tection algorithms and their application to the detection of shipping in spaceborne SAR imagery.
In our model, two GPs are embedded within each state of the FSM. The FSM is thus a function of the GPs embedded within its states, and hence denoted FSM(GP). In ...
Jun 9, 2022 · SpaceKnow is developing a cutting-edge solution to automatically detect ships on high-resolution SAR satellite imagery.
This paper presents a prototype ship detection system that attempts to combine the benefits yielded by the two aforementioned techniques, thus gaining both ...
Mar 15, 2018 · This paper provides an overview of existing literature on vessel/ship detection and classification from optical satellite imagery.
Aug 17, 2022 · Capella's Vessel Detection automatically locates maritime vessels within a given SAR image and highlights each vessel with a visual bounding box.
Automatic Detection of Ships in Spaceborne SAR Imagery. Created by W.Langdon from gp-bibliography.bib Revision:1.7892. @InProceedings{Benson:2000:GECCO,.
Foulkes, S. B. (2000). Ship detection in ESR-1 and radarsat SAR images using self-organising neural networks. In Proceeding of the amrs workshop on ship ...
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