基于压缩感知的鸟类目标成像稀疏合成方法

J4 ›› 2015, Vol. 32 ›› Issue (1): 101-106.

基于压缩感知的鸟类目标成像稀疏合成方法

丁健?，李磊

滁州学院机械与电子工程学院，安徽滁州 239000

收稿日期:2014-03-28 修回日期:2014-08-08 出版日期:2015-01-28 发布日期:2015-02-04
通讯作者: 丁健（1981-）安徽人，研究生，从事光电子技术研究。 E-mail:loading1981@126.com
基金资助:
省优秀青年人才基金重点项目资助（2013SQRL093ZD）、安徽高等学校省级自然科学研究项目资助（KJ2013B186）、滁州学院科研项目（2012kj008B）；滁州学院教研项目（2014jyy011）

Sparse Synthesizing Method for Avian based on Compressed Sensing

DING Jian , LI Lei

Department of Mechanical and Electronic Engineering, Chuzhou University, Chuzhou 239000,China

Received:2014-03-28 Revised:2014-08-08 Published:2015-01-28 Online:2015-02-04

摘要/Abstract

摘要： 对鸟类目标进行高分辨成像是确保飞行安全的重要举措。针对现有雷达分辨率过低问题，提出了利用逆合成孔径激光雷达进行鸟类目标高分辨成像探测的构想。给出了逆合成孔径激光雷达实现鸟类成像的原理框图，以此为基础，建立了鸟类目标成像模型。仿真结果表明：本文模型可以获得鸟类目标高分辨像。

关键词: 激光技术, 二维高分辨像, 压缩感知, 鸟类目标, 逆合成孔径激光雷达

Abstract: High-resolution imaging avian is quite significant for aviation security. Aimed at the lower resolution of the existed radar, an idea about avian can be detected and imaged by using Inverse Synthetic Aperture Imaging LIDAR (ISAIL) is proposed in this paper. On the basis of the principle sketch of the avian ISAIL system is given, a new sparse synthesizing method based on Compressed Sensing (CS) is proposed in the paper. By using the proposed method, the exact high-resolution cross-range profile can be achieved with the incomplete effect data. This method is robust. The effectiveness of the proposed method can be validated by simulation results.

Key words: laser techniques, two dimension high-resolution image, compressed sensing, avian, inverse synthetic aperture imaging LIDAR

丁健?，李磊. 基于压缩感知的鸟类目标成像稀疏合成方法[J]. J4, 2015, 32(1): 101-106.

DING Jian , LI Lei. Sparse Synthesizing Method for Avian based on Compressed Sensing[J]. J4, 2015, 32(1): 101-106.

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