Joint Statistical Distribution of Multi-Baseline SAR Interferograms

被引：2
|
作者：
Meglio, Federica [1 ]
Pascazio, Vito [2 ]
Schirinzi, Gilda [1 ]
机构：
[1] Univ Cassino, DAEIMI, Via Biasio 43, I-03043 Cassino, Italy
[2] Univ Napoli Parthenope, Dipartimento Tecnol, I-80133 Naples, Italy
来源：
2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8 | 2006年
关键词：
Multi-baselines SAR interferometry; joint phase statistics; DEM estimation;
D O I：
10.1109/IGARSS.2006.659
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
In this paper we ebaluate the joint probability density function of dual beselines Synthetic Aperture Radar (SAR) interferograms, obtained from three correlated interferometric images. The evaluation exploits the Gaussian model for the complex SAR images, takes into account the correlation of all the images, and then of the interferograms, and does not use any approximation. This problem is of great interest in statistical DEM estimation methods.
引用
收藏
页码：2549 / +
页数：2
相关论文
共 50 条
  • [31] MULTI-BASELINE POL-INSAR STATISTICAL TECHNIQUES FOR THE CHARACTERIZATION OF DISTRIBUTED MEDIA
    Ferro-Famil, Laurent
    Neumann, Maxim
    Huang, Yue
    2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 2273 - 2276
  • [32] Early Lessons on Combining Lidar and Multi-baseline SAR Measurements for Forest Structure Characterization
    Matteo Pardini
    John Armston
    Wenlu Qi
    Seung Kuk Lee
    Marivi Tello
    Victor Cazcarra Bes
    Changhyun Choi
    Konstantinos P. Papathanassiou
    Ralph O. Dubayah
    Lola E. Fatoyinbo
    Surveys in Geophysics, 2019, 40 : 803 - 837
  • [33] An Improvement of Vegetation Height Estimation Using Multi-baseline Polarimetric Interferometric SAR Data
    Zhou, Y. S.
    Hong, W.
    Cao, F.
    PIERS 2009 BEIJING: PROGESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM, PROCEEDINGS I AND II, 2009, : 691 - 695
  • [34] Early Lessons on Combining Lidar and Multi-baseline SAR Measurements for Forest Structure Characterization
    Pardini, Matteo
    Armston, John
    Qi, Wenlu
    Lee, Seung Kuk
    Tello, Marivi
    Bes, Victor Cazcarra
    Choi, Changhyun
    Papathanassiou, Konstantinos P.
    Dubayah, Ralph O.
    Fatoyinbo, Lola E.
    SURVEYS IN GEOPHYSICS, 2019, 40 (04) : 803 - 837
  • [35] UNWRAPPED PHASE ESTIMATION VIA MAXIMUM LIKELIHOOD PRINCIPLE FOR MULTI-BASELINE SAR INTERFEROMETRY
    You, Yanan
    Xu, Huaping
    Li, Chunsheng
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 6449 - 6451
  • [36] ON THE SEPARATION OF GROUND AND CANOPY SCATTERINGS USING SINGLE POLARIMETRIC MULTI-BASELINE SAR TOMOGRAPHY
    Aghababaee, Hossein
    Budillon, Alessandra
    Ferraioli, Giampaolo
    Pascazio, Vito
    Schirinzi, Gilda
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 975 - 978
  • [37] Comparison of Multi-Aspect Multi-Baseline SAR Interferometry and Multi-Aspect TomoSAR Reconstruction Results
    Schmitt, Michael
    Stilla, Uwe
    10TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2014), 2014,
  • [38] Elevation Extraction from Spaceborne SAR Tomography Using Multi-Baseline COSMO-SkyMed SAR Data
    Feng, Lang
    Muller, Jan-Peter
    Yu, Chaoqun
    Deng, Chao
    Zhang, Jingfa
    REMOTE SENSING, 2022, 14 (16)
  • [39] Large-Scale Urban Mapping using Small Stack Multi-baseline TanDEM-X Interferograms
    Shi, Yilei
    Wang, Yuanyuan
    Zhu, Xiao Xiang
    Bamler, Richard
    2019 JOINT URBAN REMOTE SENSING EVENT (JURSE), 2019,
  • [40] MirrorSAR: An HRWS Add-On for Single-Pass Multi-Baseline SAR Interferometry
    Mittermayer, Josef
    Krieger, Gerhard
    Bojarski, Allan
    Zonno, Mariantonietta
    Villano, Michelangelo
    Pinheiro, Muriel
    Bachmann, Markus
    Buckreuss, Stefan
    Moreira, Alberto
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
12345