A Robust Moving Target Shadow Detection and Tracking Method for VideoSAR
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摘要: 视频合成孔径雷达(VideoSAR)可获取观测场景高帧率图像序列，利用车辆等地面运动目标在图像序列中形成的阴影能够实现动目标状态感知，该方法具有定位精度高、检测概率高、无最小可检测速度限制等优点。针对视频SAR动目标阴影变化剧烈、信杂噪比低、多普勒模糊干扰等特有的图像特征，该文充分利用帧图像空间域和时间域信息，研究了视频SAR数据预处理、动目标阴影检测和视频SAR多目标跟踪方法。实测数据全流程处理结果验证了该文方法的有效性。Abstract: Video Synthetic Aperture Radar (VideoSAR) can acquire high frame rate image sequence of observation scene. Moving target state can be detected by using the shadow formed by ground moving targets such as vehicles in the image sequence. This method has the advantages of high positioning accuracy, high detection probability and no minimum detectable speed limit. VideoSAR has the special image features,such as sharp change of moving target shadow, low signal-to-noise ratio and Doppler smear interference. Taking full advantage of the spatial and temporal information of frame images, three technologies including VideoSAR data preprocessing, moving target shadow detection and VideoSAR multi-target tracking method are studied. The effectiveness of the proposed method is verified by the real data whole processing results.
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