MPOLSAR-1.0: Multidimensional SAR Multiband Fully Polarized Fine Classification Dataset

JIN Yan; QIU Xiaolan; PAN Jie; SHANGGUAN Songtao; WANG Zezhong; WANG Wei; YANG Hong

doi:10.12000/JR24002

Volume 13 Issue 3

Jun. 2024

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Article Navigation > Journal of Radars > 2024 > 13(3): 525-538

Zhang Lei, Dong Chun-zhu, Hou Zhao-guo, Wang Chao, Yin Hong-cheng. Transmission Line Equivalent Plane Model and Phase Correction Algorithm for Multilayered Dielectric Slab Structure[J]. Journal of Radars, 2015, 4(3): 317-325. doi: 10.12000/JR15038

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JIN Yan, QIU Xiaolan, PAN Jie, et al. MPOLSAR-1.0: Multidimensional SAR multiband fully polarized fine classification dataset[J]. Journal of Radars, 2024, 13(3): 525–538. doi: 10.12000/JR24002

Citation:

JIN Yan, QIU Xiaolan, PAN Jie, et al. MPOLSAR-1.0: Multidimensional SAR multiband fully polarized fine classification dataset[J]. Journal of Radars, 2024, 13(3): 525–538. doi: 10.12000/JR24002

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MPOLSAR-1.0: Multidimensional SAR Multiband Fully Polarized Fine Classification Dataset

DOI: 10.12000/JR24002

JIN Yan^{1, 2
,
,},
QIU Xiaolan^{1, 2, 3
,
,},
PAN Jie³,
SHANGGUAN Songtao^{1, 2},
WANG Zezhong^{1, 2},
WANG Wei^{1, 2},
YANG Hong³

1.
Suzhou Key Laboratory of Microwave Imaging, Processing and Application Technology, Suzhou 215123, China
2.
Suzhou Aerospace Information Research Institute, Suzhou 215123, China
3.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China

Funds: Application Calibration and Verification of High Resolution Specialized Aviation Observation System (30-H30C01-9004-19, 21)

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Corresponding author: JIN Yan, yjin@mail.ie.ac.cn; QIU Xiaolan, xlqiu@mail.ie.ac.cn
Received Date: 2024-01-04
Rev Recd Date: 2024-02-23

Available Online: 2024-03-04

Publish Date: 2024-03-22

Abstract

Abstract

Fine terrain classification is one of the main applications of Synthetic Aperture Radar (SAR). In the multiband fully polarized SAR operating mode, obtaining information on different frequency bands of the target and polarization response characteristics of a target is possible, which can improve target classification accuracy. However, the existing datasets at home and abroad only have low-resolution fully polarized classification data for individual bands, limited regions, and small samples. Thus, a multidimensional SAR dataset from Hainan is used to construct a multiband fully polarized fine classification dataset with ample sample size, diverse land cover categories, and high classification reliability. This dataset will promote the development of multiband fully polarized SAR classification applications, supported by the high-resolution aerial observation system application calibration and verification project. This paper provides an overview of the composition of the dataset, and describes the information and dataset production methods for the first batch of published data (MPOLSAR-1.0). Furthermore, this study presents the preliminary classification experimental results based on the polarization feature classification and classical machine learning classification methods, providing support for the sharing and application of the dataset.
- Synthetic Aperture Radar (SAR),
- SAR fine classification,
- SAR dataset,
- Multidimensional SAR,
- Multiband fully polarized SAR,
- Polarization characteristics

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References(11)

References

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