摘要
逆合成孔径激光雷达鸟类目标方位向高分辨合成对于鸟类目标成像及识别具有重要意义。针对逆合成孔径激光雷达鸟类目标方位向高分辨合成过程中数据不完整问题,提出一种基于压缩感知的稀疏合成方法。该方法能以较少的有效数据获得准确的高分辨方位,且具有一定的鲁棒性。仿真结果证明了该方法的有效性。
High-resolution synthesis for avian objects in azimuth direction with inverse synthetic aperture imaging LIDAR （ISAIL） has im- portant significance for avian objects imaging and identification. Aiming at data incompletion problem in high-resolution synthesising process in azimuth direction for avian objects with ISAIL,we propose a compressed sensing-based sparse synthesising method. The proposed method can acquire accurate high-resolution cross-range profile with a few effective data, and has certain robustness. Simulation results prove the effectiveness of the proposed method.
出处
《计算机应用与软件》
CSCD
2015年第5期109-111,共3页
Computer Applications and Software
基金
安徽省自然科学基金项目(1308085 MF92)
安徽高等学校省级自然科学研究项目(KJ2013B186)
滁州学院科研项目(2012kj008B)
关键词
鸟类目标
逆合成孔径激光雷达
压缩感知
稀疏
高分辨方位
Avian object Inverse synthetic aperture imaging LIDAR Compressed sensing Sparsity High-resolution cross-range profile
