Efficient nonparametric ISAR autofocus algorithm based on contrast maximization and Newton's method

J Cai, M Martorella, S Chang, Q Liu… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Phase autofocus is a significant step in translational motion compensation for inverse
synthetic aperture radar (ISAR) imaging. Among the existing autofocus methods, contrast …
被引用次数：34 相关文章

Efficient nonparametric ISAR autofocus algorithm based on contrast maximization and Newton's method

J Cai, M Martorella, S Chang, Q Liu… - IEEE Sensors …, 2021 - research.birmingham.ac.uk
Phase autofocus is a significant step in translational motion compensation for inverse
synthetic aperture radar (ISAR) imaging. Among the existing autofocus methods, contrast …

[引用][C] Efficient Nonparametric ISAR Autofocus Algorithm Based on Contrast Maximization and Newton's Method

J Cai, M Martorella, S Chang, Q Liu… - IEEE Sensors …, 2021 - ui.adsabs.harvard.edu
Efficient Nonparametric ISAR Autofocus Algorithm Based on Contrast Maximization and
Newton's Method - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS …

Efficient Nonparametric ISAR Autofocus Algorithm Based on Contrast Maximization and Newton's Method

J Cai, M Martorella, S Chang, Q Liu, Z Ding… - IEEE SENSORS …, 2021 - arpi.unipi.it
Phase autofocus is a significant step in translational motion compensation for inverse
synthetic aperture radar (ISAR) imaging. Among the existing autofocus methods, contrast …

Efficient Nonparametric ISAR Autofocus Algorithm Based on Contrast Maximization and Newton's Method

J Cai, M Martorella, S Chang, Q Liu… - IEEE Sensors …, 2021 - research.birmingham.ac.uk
Phase autofocus is a significant step in translational motion compensation for inverse
synthetic aperture radar (ISAR) imaging. Among the existing autofocus methods, contrast …