Guozhen Zha , Zhongbiao Chen , Zhijia Lin , Lin Peng , Jie Zhang , Weiye He
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引用次数: 0
摘要
航海 X 波段雷达用于以较高的时间和空间分辨率连续监测大面积海面。在航海 X 波段雷达图像中,海洋表面波的特征通常表现为具有明显方向和频率特性的直线或曲线条纹。小曲线变换(CT)是一种多分辨率技术,具有定位和方向分辨能力。本研究提出了一种增强航海 X 波段雷达图像中海洋表面波特征的新方法。使用前向 CT 对雷达图像进行不同尺度、方向和位置的分解。面波信号分布在特定方向和尺度的小曲线系数(CC)中。通过保留特定方向和尺度上的小曲线系数,提取面波信号,而其他方向和尺度上的小曲线系数则全部置零。通过将提取的信号添加回原始图像来增强波浪特征。所提出的方法也适用于增强合成孔径雷达或光学遥感图像中的表面波特征。
A new method for enhancing signatures of ocean surface waves in nautical X-band radar images
Nautical X-band radars are used to continuously monitor large ocean surface areas with high temporal and spatial resolution. The signatures of ocean surface waves in nautical X-band radar images are typically present as straight or curved stripes with distinct directional and frequency characteristics. Curvelet transform (CT) is a multi-resolution technique with the capability of locational and directional resolving. This study presents a new method for enhancing the signatures of ocean surface waves in nautical X-band radar images. A radar image is decomposed at different scales, directions, and locations using forward CT. The surface wave signals are distributed in the curvelet coefficient (CC) of certain directions and scales. The signals of surface waves are extracted by retaining the CCs in specific directions and scales, whereas the CCs in other directions and scales are all set to zero. Wave signatures are enhanced by adding the extracted signals back to the original image. The proposed method is also feasible for enhancing signatures of surface waves in synthetic aperture radar or optical remote sensing images.
期刊介绍:
The Journal of Sea Research is an international and multidisciplinary periodical on marine research, with an emphasis on the functioning of marine ecosystems in coastal and shelf seas, including intertidal, estuarine and brackish environments. As several subdisciplines add to this aim, manuscripts are welcome from the fields of marine biology, marine chemistry, marine sedimentology and physical oceanography, provided they add to the understanding of ecosystem processes.