In this paper, we propose a novel ship detection model based on multi-cue visual attention mechanism, which include two steps. Firstly, the model acquires salient candidate regions across entire scene by using a bottom-up visual attention cue. The cue is saliency analysis method based on visual contrast. Then, a analysis method based on the environment around the ship is used to distinguish between ship and harbor.The method don't use the shape, edge or other forms of features of the ship objects. The ship detection results prove our method can effectively concentrate on the objects with greater contrast and distinguish between ship and harbor. ? (2014) Trans Tech Publications, Switzerland.EI
Due to the complexity of scene interference and the variability of ship scale and position, automati...
International audienceShip detection from remote sensing imagery is a crucial application for mariti...
Given Singapore is a coastal state that connects the West and the East. Being one of the world’s bus...
In this paper, we propose a novel ship detection model based on multi-cue visual attention mechanism...
In this paper, we propose a novel ship detection method based on multi-visual features after analyzi...
In this letter, we propose a novel computational model for automatic ship detection in optical satel...
Reliably ship detection in optical satellite images has a wide application in both military and civi...
This paper presents a saliency inspired visual attention technique for maritime scenes. The main foc...
In ship detection based on optical images, the system typically needs to handle small-scale targets ...
Major challenges for automatic ship detection in optical remote sensing (ORS) images include cloud, ...
Monitoring and identification of ships in remote sensing images is of great significance for port ma...
Maritime target detection from optical remote sensing images plays an important role in related mili...
Ship detection by Unmanned Airborne Vehicles (UAVs) and satellites plays an important role in a spec...
International audienceShip detection from high-resolution optical satellite images is still an impor...
The detection of ships in optical remote sensing images with clouds, waves, and other complex interf...
Due to the complexity of scene interference and the variability of ship scale and position, automati...
International audienceShip detection from remote sensing imagery is a crucial application for mariti...
Given Singapore is a coastal state that connects the West and the East. Being one of the world’s bus...
In this paper, we propose a novel ship detection model based on multi-cue visual attention mechanism...
In this paper, we propose a novel ship detection method based on multi-visual features after analyzi...
In this letter, we propose a novel computational model for automatic ship detection in optical satel...
Reliably ship detection in optical satellite images has a wide application in both military and civi...
This paper presents a saliency inspired visual attention technique for maritime scenes. The main foc...
In ship detection based on optical images, the system typically needs to handle small-scale targets ...
Major challenges for automatic ship detection in optical remote sensing (ORS) images include cloud, ...
Monitoring and identification of ships in remote sensing images is of great significance for port ma...
Maritime target detection from optical remote sensing images plays an important role in related mili...
Ship detection by Unmanned Airborne Vehicles (UAVs) and satellites plays an important role in a spec...
International audienceShip detection from high-resolution optical satellite images is still an impor...
The detection of ships in optical remote sensing images with clouds, waves, and other complex interf...
Due to the complexity of scene interference and the variability of ship scale and position, automati...
International audienceShip detection from remote sensing imagery is a crucial application for mariti...
Given Singapore is a coastal state that connects the West and the East. Being one of the world’s bus...