Potential of model-based polarimetric decomposition extended with multi-frequency and multi-incidence PolSAR observations

被引:0
|
作者
Shi, Hongtao [1 ,2 ,3 ,4 ]
Zhao, Jinqi [1 ,2 ]
Liu, Wensong [5 ]
Lang, Fengkai [1 ]
Qian, Jiaxin [4 ]
Zhao, Lingli [6 ]
Huang, Yanli [7 ]
机构
[1] China Univ Min & Technol, Sch Environm & Spatial Informat, 1 Daxue Rd, Xuzhou 221116, Jiangsu, Peoples R China
[2] Wuhan Univ, Key Lab Natl Geog Census & Monitoring, Minist Nat Resources, Wuhan, Peoples R China
[3] Deqing Acad Satellite Applicat, Lab Target Microwave Properties, Zhejiang, Peoples R China
[4] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan, Peoples R China
[5] Jiangsu Normal Univ, Sch Geog Geomatics & Planning, Xuzhou, Peoples R China
[6] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan, Peoples R China
[7] China Univ Min & Technol, Sch Mines, Xuzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Model based decomposition; multi-frequency; multi-incidence; PolSAR; SCATTERING MODEL; CLASSIFICATION;
D O I
10.1080/2150704X.2024.2433746
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
This letter attempts to extend the model-based polarimetric decomposition (PD) theorems with multiple polarimetric synthetic aperture radar (PolSAR) observations. To consider both the surface and dihedral scattering depolarization effects, the X-Bragg model, the extended double Fresnel scattering model, and the step-wise volume scattering model are introduced in the model-based PD. The proposed methodology is explored by exploiting Airborne Synthetic Aperture Radar (AIRSAR) C-band and L-band data from southern Oklahoma, United States of America, and L-band Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) polarimetric data from Winnipeg, Canada, with two flight lines of 31605-03 and 31606-03 in different incidence angles. The potential and superiority of the proposed decomposition method are examined by illustrating the false color composition images, and the power ratio statistics of surface, dihedral, and volume scattering components over selected bare soil, forest, grass, and urban patches.
引用
收藏
页码:1282 / 1294
页数:13
相关论文
共 50 条
  • [31] Variational Mode Decomposition-based Synchronous Multi-Frequency Electrical Impedance Tomography
    Pan, Qing-Xin
    Li, Yang
    Wang, Nan
    Zhao, Peng-Fei
    Huang, Lan
    Wang, Zhong-Yi
    INFORMATION TECHNOLOGY AND CONTROL, 2022, 51 (03): : 446 - 466
  • [32] The Extraction and Characterization of Pseudorange Multipath Based on BDS-3 Multi-Frequency Observations
    Guo, Zhongchen
    Yu, Xuexiang
    Hu, Chao
    Jiang, Chuang
    Tan, Hao
    Zhu, Mingfei
    Xie, Shicheng
    SENSORS, 2023, 23 (13)
  • [33] Performance Assessment of Positioning Based on Multi-Frequency Multi-GNSS Observations: Signal Quality, PPP and Baseline Solution
    Bu, Jinwei
    Yu, Kegen
    Qian, Nijia
    Zuo, Xiaoqing
    Chang, Jun
    IEEE ACCESS, 2021, 9 : 5845 - 5861
  • [34] Ice microphysical processes in the dendritic growth layer: a statistical analysis combining multi-frequency and polarimetric Doppler cloud radar observations
    von Terzi, Leonie
    Dias Neto, Jose
    Ori, Davide
    Myagkov, Alexander
    Kneifel, Stefan
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2022, 22 (17) : 11795 - 11821
  • [35] Filtered Observations for Model-Based Multi-agent Reinforcement Learning
    Meng, Linghui
    Xiong, Xuantang
    Zang, Yifan
    Zhang, Xi
    Li, Guoqi
    Xing, Dengpeng
    Xu, Bo
    MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, ECML PKDD 2023, PT IV, 2023, 14172 : 540 - 555
  • [36] Geometric and Polarimetric Sharpening of SAR Images by Kennaugh- and Schmittlet-based Multi-frequency Data Fusion
    Schmitt, Andreas
    Wendleder, Anna
    11TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2016), 2016, : 1086 - 1089
  • [37] Unsupervised classification of multi-frequency and fully polarimetric SAR images based on the H/A/Alpha - Wishart classifier.
    Ferro-Famil, L
    Pottier, E
    Lee, JS
    IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 2000, : 1104 - 1106
  • [38] NDVI inversion of multi-frequency and multi-satellite GNSS-IR model based on machine learning
    Liu Y.
    Zheng N.
    Ding R.
    Zhang K.
    Ju H.
    Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology, 2023, 52 (05): : 1014 - 1021
  • [39] Compound PCA-ICA neural network model for enhancement and feature extraction of multi-frequency polarimetric SAR imagery
    Chitroub, S
    Houacine, A
    Sansal, B
    2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDINGS, 2000, : 328 - 331
  • [40] Retired battery state of health estimation based on multi-frequency decomposition of charging temperature and GRU-transformer integration model
    Li, Hongbo
    Li, Zebin
    Ma, Yongchun
    Lin, Jie
    Zhao, Xiaobin
    Zhang, Wencan
    Guo, Fang
    AIP ADVANCES, 2024, 14 (07)