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首页> 外文会议>International symposium on multispectral image processing and pattern recognition >Aircraft Target Detection Algorithm Based on High Resolution Spaceborne SAR Imagery
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Aircraft Target Detection Algorithm Based on High Resolution Spaceborne SAR Imagery

机译：基于高分辨率星载SAR图像的飞机目标检测算法

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摘要

In this paper, an image classification algorithm for airport area is proposed, which based on the statistical features of synthetic aperture radar (SAR) images and the spatial information of pixels. The algorithm combines Gamma mixture model and MRF. The algorithm using Gamma mixture model to obtain the initial classification result. Pixel space correlation based on the classification results are optimized by the MRF technique. Additionally, morphology methods are employed to extract airport (ROI) region where the suspected aircraft target samples are clarified to reduce the false alarm and increase the detection performance. Finally, this paper presents the plane target detection, which have been verified by simulation test.
机译：基于合成孔径雷达（SAR）图像的统计特征和像素的空间信息，提出一种机场区域图像分类算法。该算法结合了Gamma混合模型和MRF。该算法使用Gamma混合模型获得初始分类结果。基于分类结果的像素空间相关性通过MRF技术进行了优化。另外，采用形态学方法提取机场（ROI）区域，在其中澄清了可疑飞机目标样本，以减少误报并提高检测性能。最后，本文提出了平面目标检测，并已通过仿真测试验证。

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