Investigation of Gaussian-like phase-noise filters efficiency for InSAR processing

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Investigation of Gaussian-like phase-noise filters efficiency for InSAR processing. / Sosnovsky, A.; Snigirev, Maxim V.; Kobernichenko, Victor.
In: AIP Conference Proceedings, Vol. 2849, No. 1, 190013, 2023.

Research output: Contribution to journal › Conference article › peer-review

BibTeX

@article{39940cda4beb43269e6c48c51f9ead3e,

title = "Investigation of Gaussian-like phase-noise filters efficiency for InSAR processing",

abstract = "A method of space-based interferometric synthetic aperture radar measurements (InSAR and DInSAR techniques) is designed for obtaining of different types of altitude data for the Earth surface, i.e. terrain heights and surface displacements. Phase noise is an intrinsic random uncorrelated additive process, which complicates data processing in such systems. The experimental study of the linear non-adaptive phase noise filters are studied using the previously developed technique for experimental evaluation of the InSAR processing algorithms effectiveness. The accuracy characteristics for the filters applied to ALOS PALSAR data for areas with hilly and low-mountainous terrain are obtained, and it is shown, that one of the filters gives a slight better results (with less error value) under the equal computational complexity.",

author = "A. Sosnovsky and Snigirev, {Maxim V.} and Victor Kobernichenko",

note = "The work was supported by the Ministry of Science and Higher Education of the Russian Federation (project no. 0836-2020-0020), and by the RFBR grant no. 19-29-09022\19.",

year = "2023",

doi = "10.1063/5.0162206",

language = "English",

volume = "2849",

journal = "AIP Conference Proceedings",

issn = "0094-243X",

publisher = "American Institute of Physics Publising LLC",

number = "1",

}

RIS

TY - JOUR

T1 - Investigation of Gaussian-like phase-noise filters efficiency for InSAR processing

AU - Sosnovsky, A.

AU - Snigirev, Maxim V.

AU - Kobernichenko, Victor

N1 - The work was supported by the Ministry of Science and Higher Education of the Russian Federation (project no. 0836-2020-0020), and by the RFBR grant no. 19-29-09022\19.

PY - 2023

Y1 - 2023

N2 - A method of space-based interferometric synthetic aperture radar measurements (InSAR and DInSAR techniques) is designed for obtaining of different types of altitude data for the Earth surface, i.e. terrain heights and surface displacements. Phase noise is an intrinsic random uncorrelated additive process, which complicates data processing in such systems. The experimental study of the linear non-adaptive phase noise filters are studied using the previously developed technique for experimental evaluation of the InSAR processing algorithms effectiveness. The accuracy characteristics for the filters applied to ALOS PALSAR data for areas with hilly and low-mountainous terrain are obtained, and it is shown, that one of the filters gives a slight better results (with less error value) under the equal computational complexity.

AB - A method of space-based interferometric synthetic aperture radar measurements (InSAR and DInSAR techniques) is designed for obtaining of different types of altitude data for the Earth surface, i.e. terrain heights and surface displacements. Phase noise is an intrinsic random uncorrelated additive process, which complicates data processing in such systems. The experimental study of the linear non-adaptive phase noise filters are studied using the previously developed technique for experimental evaluation of the InSAR processing algorithms effectiveness. The accuracy characteristics for the filters applied to ALOS PALSAR data for areas with hilly and low-mountainous terrain are obtained, and it is shown, that one of the filters gives a slight better results (with less error value) under the equal computational complexity.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85176737595

U2 - 10.1063/5.0162206

DO - 10.1063/5.0162206

M3 - Conference article

VL - 2849

JO - AIP Conference Proceedings

JF - AIP Conference Proceedings

SN - 0094-243X

IS - 1

M1 - 190013

ER -

ID: 48512083