Sparse synthesizing method for avian target based on compressed sensing

Jian DING; Lei LI

doi:10.3969/j.issn.1007-5461. 2015.01.015

[2] Nebuloni R, Capsoni C, Vigorita V. Quantifying bird migration by a high-resolution weather radar [J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 4(6): 1867-1875.

[4] Zhu F, Luo Y, et al. ISAR imaging for avian species identification with frequency-stepped chirp signals [J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7(1): 151-155.

[6] He J, Luo Y, Feng T A, et al. Inverse synthetic imaging LIDAR: No targets can hide [C]. Workshop for Space, Aeronautical and Navigational Electronics, 2009, 177-181.

[10] Qun Zhang, Tat Soon Yeo, Hwee Siang Tan, et al. Imaging of a moving target with rotating parts based on the Hough transform [C]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46: 291-299.

[11] Candes E, Tao T. Near optimal signal recovery from random projections: Universal encoding strategies [J]. IEEE Transactions on Information Theory, 2006, 52(12): 5406-5425.

[14] Baraniuk R. A lecture on compressive sensing [J]. IEEE Signal Processing Magazine, 2007, 24(4): 118-121.