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
  • [1] Estimation of aboveground biomass from PolSAR and PolInSAR using regression-based modelling techniques
    Mukhopadhyay, Ritwika
    Kumar, Shashi
    Aghababaei, Hossein
    Kulshrestha, Anurag
    GEOCARTO INTERNATIONAL, 2022, 37 (14) : 4181 - 4207
  • [2] PROPOSAL OF BIQUATERNION NEURAL NETWORKS FOR COHERENT PROCESSING OF POLARIZATION-AND-PHASE INFORMATION IN POLSAR AND POLINSAR
    Otsuka, Yuta
    Natsuaki, Ryo
    Hirose, Akira
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 1914 - 1917
  • [3] Fusion of PolSAR and PolInSAR data for land cover classification
    Shimoni, M.
    Borghys, D.
    Heremans, R.
    Perneel, C.
    Acheroy, M.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2009, 11 (03) : 169 - 180
  • [4] Parametric estimation in a model for PolSAR images
    Maria Magdalena, Lucini
    Luis Miguel, Duarte
    2016 IEEE BIENNIAL CONGRESS OF ARGENTINA (ARGENCON), 2016,
  • [5] Forest height estimation based on the RVoG inversion model and the PolInSAR decomposition technique
    Aghabalaei, Amir
    Ebadi, Hamid
    Maghsoudi, Yasser
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2020, 41 (07) : 2684 - 2703
  • [6] Estimation Error of Topographic Phase Based on RVoG Model Using POLinSAR Data
    Bai, L.
    Hong, W.
    Cao, F.
    PIERS 2009 BEIJING: PROGESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM, PROCEEDINGS I AND II, 2009, : 1464 - 1468
  • [7] Forest Model for Height Estimation Using POLinSAR Data
    Chen, Jiehong
    Zhang, Hong
    Wang, Chao
    Tang, Yixian
    PIERS 2011 SUZHOU: PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM, 2011, : 1391 - 1394
  • [8] Speckle Filtering of PolSAR and PolInSAR Images using Trace-based Partial Differential Equations
    Foucher, Samuel
    Farage, Gregory
    Benie, Goze B.
    2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 2545 - +
  • [9] Building Density Estimation using PolSAR Images based on Adaptive Volume Scattering Model
    Xu, Xiaofang
    Zhang, Lamei
    Zou, Ligang
    Yuan, Lin
    2016 IEEE INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION AND COMMUNICATION TECHNOLOGY ICEICT 2016 PROCEEDINGS, 2016, : 544 - 548
  • [10] PolSAR additive noise estimation based on shadow regions
    Yang, Le
    Shi, Lei
    Yang, Jie
    Li, Pingxiang
    Zhao, Lingli
    Zhao, Jinqi
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021, 42 (01) : 259 - 273
12345