Scalloping Suppression Method for ScanSAR Images Considering Azimuthal Correction Errors and Range Spatial Variant Characteristics

被引：0

作者：

Ye, Hao ^{[1
]}

Jin, Guowang ^{[1
,2
]}

Zhang, Hongmin ^{[3
]}

Xiong, Xin

Wang, Jiajun ^{[1
,4
]}

Yang, He ^{[5
]}

机构：

[1] PLA Strateg Support Force Informat Engn Univ, Inst Geospatial Informat, Zhengzhou 450001, Peoples R China

[2] Key Lab Smart Earth, Beijing 100094, Peoples R China

[3] PLA Strateg Support Force Informat Engn Univ, Inst Data & Target Engn, Zhengzhou 450001, Peoples R China

[4] 92556 Troops, Ningbo 315000, Peoples R China

[5] Transportat Dev Ctr Henan Prov, Zhengzhou 450001, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2025年 / 22卷

基金：

中国国家自然科学基金;

关键词：

Azimuth; Noise; Polynomials; Imaging; Fitting; Synthetic aperture radar; Radar imaging; Market research; Robustness; Geospatial analysis; Azimuthal correction error; Gaofen-3 (GF-3); range spatial variant characteristic; scalloping suppression; scanning synthetic aperture radar (ScanSAR);

D O I：

10.1109/LGRS.2025.3527438

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Scanning synthetic aperture radar (ScanSAR) is the dominant imaging mode of existing SAR satellites. However, in this mode, a burst operation is utilized, resulting in scalloping problems that significantly impact the quality of ScanSAR images. In response to the poor robustness and high complexity of existing denoising algorithms, and based on the analysis of the causes of scalloping, a scalloping suppression method for ScanSAR images that considers azimuthal correction errors and range spatial variant characteristics is proposed. First, estimate the azimuth antenna pattern (AAP) correction error by analyzing the alternating scalloping periods and intensities along the azimuth. Next, a cubic polynomial is used to fit the variation in the noise gain along the range. Then, scalloping is removed from both the azimuth and range. Finally, the performance of the method is validated via Gaofen-3 (GF-3) ScanSAR images of different scenes. The results demonstrate that the proposed method can effectively remove scalloping, adapt well to complex scenes, and retain image details.

引用

页数：5