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A Novel Method for Refocusing Moving Ships in SAR Images via ISAR Technique
- Source :
- Remote Sensing, Vol 13, Iss 2738, p 2738 (2021), Remote Sensing; Volume 13; Issue 14; Pages: 2738
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- As an active microwave remote sensing device, synthetic aperture radar (SAR) has been widely used in the field of marine surveillance. However, moving ships appear defocused in SAR images, which seriously affects the classification and identification of ships. Considering the three-dimensional (3-D) rotational motions (roll, pitch, and yaw) of the navigating ship, a novel method for refocusing moving ships in SAR images based on inverse synthetic aperture radar (ISAR) technique is proposed. First, a rectangular window is used to extract the defocused ship subimage. Next, the subimage is transformed into the ISAR equivalent echo domain, and the range migration and phase error caused by the identical movement of all ship scatterers are compensated. Then, the optimal imaging time can be selected by the maximum image contrast search method. Finally, the iterative adaptive approach (IAA) is used to obtain the image with high resolution. This method has satisfactory imaging performance in both azimuth resolution and image focus, and the amount of calculation is small due to the processing of subimages. Simulated data and Gaofen-3 real SAR data are used to verify the effectiveness of the proposed method.
- Subjects :
- Synthetic aperture radar
optimal imaging time selection
Computer science
Science
0211 other engineering and technologies
02 engineering and technology
01 natural sciences
Field (computer science)
Image (mathematics)
Computer vision
iterative adaptive approach (IAA)
021101 geological & geomatics engineering
Motion compensation
business.industry
010401 analytical chemistry
Echo (computing)
synthetic aperture radar (SAR)
inverse synthetic aperture radar (ISAR)
0104 chemical sciences
Azimuth
Inverse synthetic aperture radar
motion compensation
General Earth and Planetary Sciences
Artificial intelligence
Focus (optics)
business
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Volume :
- 13
- Issue :
- 2738
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....3293c13ff1d8fea1448d2b7e2207da07