POLSAR AND POLINSAR MODEL BASED INFORMATION ESTIMATION

被引：0
|
作者：
Lopez-Martinez, Carlos [1 ]
Fabregas, Xavier [1 ]
Pipia, Luca [1 ]
机构：
[1] UPC, Signal Theory & Telecommun Dept TSC, RSLab, Barcelona, Spain
来源：
2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5 | 2009年
关键词：
PolSAR; PolInSAR; Speckle; Filtering; POLARIMETRIC SAR INTERFEROMETRY;
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Speckle for multidimensional SAR data may be modeled as the combination of multiplicative and additive noise sources As demonstrated, the use of this noise model does not corrupt the estimation of physical information from PolInSAR data. The definition of a model based PolInSAR filter allows also the computation of relative errors for estimated heights of forested areas from PolInSAR data.
引用
收藏
页码：2261 / 2264
页数：4
相关论文
共 50 条
  • [21] Robust PolInSAR optimal interferogram estimation method based on generalized scattering vector
    Zhiyong Suo
    Ming Li
    JournalofSystemsEngineeringandElectronics, 2017, 28 (03) : 457 - 471
  • [22] Forest Aboveground Biomass Estimation in Subtropical Mountain Areas Based on Improved Water Cloud Model and PolSAR Decomposition Using L-Band PolSAR Data
    Zhang, Haibo
    Wang, Changcheng
    Zhu, Jianjun
    Fu, Haiqiang
    Han, Wentao
    Xie, Hongqun
    FORESTS, 2023, 14 (12):
  • [23] Forest Vertical Parameter Estimation Using PolInSAR Imagery Based on Radiometric Correction
    Zhang, Yu
    He, Chu
    Xu, Xin
    Chen, Dong
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2016, 5 (10):
  • [24] Adaptive Model-Based Classification of PolSAR Data
    Li, Dong
    Zhang, Yunhua
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (12): : 6940 - 6955
  • [25] MODEL-BASED POLSAR DECOMPOSITIONS: VIRTUES AND VICES
    Ainsworth, Thomas L.
    Lee, Jong-Sen
    Wang, Yanting
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 8120 - 8123
  • [26] ROBUSTNESS OF MODEL-BASED POLSAR DECOMPOSITION TECHNIQUES
    Ainsworth, Thomas L.
    Lee, Jong-Sen
    Wang, Yanting
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 5284 - 5286
  • [27] PolSAR Change Detection for Specific Land Cover Type by Testing Equality of Two PolInSAR Coherency Matrixes
    Liu, Meng
    Zhang, Hong
    Wang, Chao
    Tang, Yixian
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMPUTER VISION IN REMOTE SENSING, 2012, : 371 - 376
  • [28] A PolSAR Change Detection Index Based on Neighborhood Information for Flood Mapping
    Mahdavi, Sahel
    Salehi, Bahram
    Huang, Weimin
    Amani, Meisam
    Brisco, Brian
    REMOTE SENSING, 2019, 11 (16)
  • [29] PolSAR image classification based on deep polarimetric feature and contextual information
    Wang, Xianyuan
    Cao, Zongjie
    Cui, Zongyong
    Liu, Nengyuan
    Pi, Yiming
    JOURNAL OF APPLIED REMOTE SENSING, 2019, 13 (03)
  • [30] DEEP LEARNING BASED CLASSIFICATION USING SEMANTIC INFORMATION FOR POLSAR IMAGE
    Zhang, Lu
    Xie, Wen
    Zhao, Feng
    Liu, Hanqiang
    Duan, Yiping
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 196 - 199
12345