[HTML][HTML] Airborne SAR autofocus based on blurry imagery classification

J Chen, H Yu, G Xu, J Zhang, B Liang, D Yang - Remote Sensing, 2021 - mdpi.com
Existing airborne SAR autofocus methods can be classified as parametric and non-
parametric. Generally, non-parametric methods, such as the widely used phase gradient …

Airborne SAR Autofocus Based on Blurry Imagery Classification.

J Chen, H Yu, G Xu, J Zhang, B Liang… - Remote …, 2021 - search.ebscohost.com
Existing airborne SAR autofocus methods can be classified as parametric and non-
parametric. Generally, non-parametric methods, such as the widely used phase gradient …

Airborne SAR Autofocus Based on Blurry Imagery Classification

J Chen, H Yu, G Xu, J Zhang, B Liang… - Remote …, 2021 - search.proquest.com
Existing airborne SAR autofocus methods can be classified as parametric and non-
parametric. Generally, non-parametric methods, such as the widely used phase gradient …

[引用][C] Airborne SAR Autofocus Based on Blurry Imagery Classification

J Chen, H Yu, G Xu, J Zhang, B Liang… - Remote …, 2021 - ui.adsabs.harvard.edu
Airborne SAR Autofocus Based on Blurry Imagery Classification - NASA/ADS Now on home page
ads icon ads Enable full ADS view NASA/ADS Airborne SAR Autofocus Based on Blurry Imagery …

[PDF][PDF] Airborne SAR Autofocus Based on Blurry Imagery Classification. Remote Sens. 2021, 13, 3872

J Chen, H Yu, G Xu, J Zhang, B Liang, D Yang - 2021 - mdpi.com
Existing airborne SAR autofocus methods can be classified as parametric and non-
parametric. Generally, non-parametric methods, such as the widely used phase gradient …

[引用][C] Airborne SAR Autofocus Based on Blurry Imagery Classification

J Chen, H Yu, G Xu, J Zhang, B Liang, D Yang - 2021