
The problem of quality assessing for the methods of coherence maps calculation in InSAR remote sensing of the Earth data processing
Author(s) -
Andrey V. Sosnovsky,
В. Г. Коберниченко,
Nina S. Vinogradova
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1368/3/032023
Subject(s) - interferometric synthetic aperture radar , coherence (philosophical gambling strategy) , remote sensing , interferometry , synthetic aperture radar , computer science , data processing , radar , earth observation , optics , geology , mathematics , physics , engineering , satellite , telecommunications , statistics , aerospace engineering , operating system
Interferometric coherence is an important indicator of the quality of interferograms obtained by synthetic aperture interferometric radars (InSAR), because the areas with low coherence are not suitable for interferometric data processing. The coherence value is used as a parameter for adaptive phase noise suppression algorithms. It can also be used for surface classification tasks. The paper investigates the problem of the coherence estimate reducing under the influence of the topographic phase slope and considers ways to reduce the impact of the slope on the estimate value. The paper presents a comparative efficiency analysis of four methods for coherence maps calculation used for the phase noise suppression on the interferograms by a spectral adaptive filter in interferometric data processing for the Earth’s remote sensing space radar ALOS PALSAR