Scalloping Suppression for ScanSAR Images Based on Modified Kalman Filter With Preprocessing-Reference-Cited by-同舟云学术

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Scalloping Suppression for ScanSAR Images Based on Modified Kalman Filter With Preprocessing

Published:2021-09 Issue:9 Volume:59 Page:7535-7546
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Yang Wei^ORCID,Li Yihan,Liu Wei^ORCID,Chen Jie^ORCID,Li Chunsheng,Men Zhirong^ORCID

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9524310/09250598.pdf?arnumber=9250598

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Highly-Squinted TOPSAR Image Formation and Azimuth Resolution Enhancement Using Embedded Focusing Based on Hybrid-Domain Algorithm;2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE);2024-06-18

2. An Adaptive Scalloping Suppression Method for ScanSAR Images Based on the Kalman Filter;IEEE Transactions on Geoscience and Remote Sensing;2024

3. A comparison of constant false alarm rate object detection algorithms for iceberg identification in L- and C-band SAR imagery of the Labrador Sea;The Cryosphere;2023-12-15

4. Sea ice classification of TerraSAR-X ScanSAR images for the MOSAiC expedition incorporating per-class incidence angle dependency of image texture;The Cryosphere;2023-03-16

5. Development of Steady Aiming System Based on Kalman Filter and Coordinate Transformation;IEEE Access;2023

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