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首页> 外文会议>IEEE International Conference in MOOCs, Innovation and Technology in Education >An enhanced Synthetic Aperture Radar algorithm for sea ice detection using region based segmentation
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An enhanced Synthetic Aperture Radar algorithm for sea ice detection using region based segmentation

机译：基于区域分割的海冰检测增强型孔径雷达算法

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摘要

An enhanced Synthetic Aperture Radar algorithm (SAR) has been proposed for sea ice detection based upon region based segmentation using raster scan method. The MODIS data of RADARSAT1 and RADARSAT2 has been used as input data. This method consists of four stages. In first stage, input the radar image for processing. In second stage, apply Gabor filter to remove the noise from image. In third stage, apply region segmentation technique and scan the image using raster scan method. In last stage, calculate the parameters of ice like velocity, thickness and concentration to display the results. This paper is focused on noise removing process to enhance the accuracy of results using Synthetic Aperture Radar algorithm. Experiment results have shown the accuracy of results against the existing method.
机译：已经提出了一种基于基于区域的分割的Sea Ice检测的增强的合成孔径雷达算法（SAR）。 RADARSAT1和RADARSAT2的MODIS数据已被用作输入数据。该方法包括四个阶段。在第一阶段，输入雷达图像进行处理。在第二阶段，应用Gabor滤波器以消除图像的噪声。在第三阶段，使用光栅扫描方法应用区域分割技术并扫描图像。在最后阶段，计算冰速度，厚度和浓度的参数以显示结果。本文专注于噪声去除过程，以增强使用合成孔径雷达算法的结果的准确性。实验结果显示了对现有方法的结果的准确性。

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