Automatic ship detection is one of the important methods that make ship sailing safely. SAR image can be well applied to detect the ship.
船只检测是实现船只航行安全的重要方法之一，利用SAR图像可实现船只检测。
In view of the stability of the geometric layout of harbor, an automatic ship detection method based on geographic information is presented.
考虑到港口几何布局稳定的特点，提出了一套基于地理信息的舰船目标检测算法。
Aiming at ship detection in optical image, this paper proposes a new method for ship detection based on feature fusion of multi-spectral image and PAN image.
该文以可见光图像舰船目标为研究对象，提出了用多谱图像和全色图像进行特征融合来检测舰船目标的方法。
In recent years, researches of ship detection using synthetic aperture radar (SAR) images have received considerable attentions in the area of Marine remote sensing.
近年来，利用合成孔径雷达(SAR)图像进行舰船检测的研究在海洋遥感领域得到高度重视。
On the other hand, the characteristics of ship target in high-resolution SAR image are analyzed. The KSW double thresholding method is proposed to ship detection in the high-resolution SAR image.
另一方面，分析高分辨率SAR图像舰船目标特点，提出了利用KSW双阈值分割进行检测的算法。
This parameter can be employed for ship detection and bridge detection from a polarimetric SAR image.
该参数能在河流区域很好地进行舰船检测与桥梁检测。
This parameter can be employed for ship detection and bridge detection from a polarimetric SAR image.
该参数能在河流区域很好地进行舰船检测与桥梁检测。
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