Gil Pablo, Alacid Beatriz
Department of Physics, Systems Engineering and Signal Theory, University of Alicante, Alicante 03690, Spain.
Computer Science Research Institute, University of Alicante, Alicante 03690, Spain.
Sensors (Basel). 2018 Jan 8;18(1):151. doi: 10.3390/s18010151.
This work presents a method for oil-spill detection on Spanish coasts using aerial Side-Looking Airborne Radar (SLAR) images, which are captured using a Terma sensor. The proposed method uses grayscale image processing techniques to identify the dark spots that represent oil slicks on the sea. The approach is based on two steps. First, the noise regions caused by aircraft movements are detected and labeled in order to avoid the detection of false-positives. Second, a segmentation process guided by a map saliency technique is used to detect image regions that represent oil slicks. The results show that the proposed method is an improvement on the previous approaches for this task when employing SLAR images.
这项工作提出了一种利用航空侧视机载雷达（SLAR）图像在西班牙海岸进行溢油检测的方法，这些图像是使用泰雷玛传感器拍摄的。所提出的方法使用灰度图像处理技术来识别代表海面上浮油的暗斑。该方法基于两个步骤。首先，检测并标记由飞机运动引起的噪声区域，以避免误报检测。其次，使用由地图显著性技术引导的分割过程来检测代表浮油的图像区域。结果表明，在所使用的SLAR图像用于此任务时，所提出的方法比以前的方法有所改进。
