Results 21 to 30 of about 20,656 (214)

Improving InSAR geodesy using global atmospheric models [PDF]

open access: yes, 2014
Spatial and temporal variations of pressure, temperature and water vapor content in the atmosphere introduce significant confounding delays in Interferometric Synthetic Aperture Radar (InSAR) observations of ground deformation and bias estimatesof ...
Agram, Piyush Shanker   +6 more
core   +4 more sources

Integrated optics prototype beam combiner for long baseline interferometry in the L and M bands [PDF]

open access: yes, 2017
In the last few years, integrated optics (IO) beam combiners have facilitated the emergence of 4-telescope interferometers such as PIONIER or GRAVITY, boosting the imaging capabilities of the VLTI.
Diener, Romina   +6 more
core   +2 more sources

Using apriori information in interferometric processing of high resolution sar data

open access: yesВестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение, 2016
The paper presents an analysis of approaches to using apriori information on relief to improve the quality of spaceborne SAR data interferometric processing.
V. A. Ushenkin, N. A. Egoshkin
doaj   +1 more source

Characterization of color cross-talk of CCD detectors and its influence in multispectral quantitative phase imaging [PDF]

open access: yes, 2018
Multi-spectral quantitative phase imaging (QPI) is an emerging imaging modality for wavelength dependent studies of several biological and industrial specimens. Simultaneous multi-spectral QPI is generally performed with color CCD cameras. However, color
Ahluwalia, Balpreet Singh   +5 more
core   +2 more sources

Optimal Dispersion Condition to Distinguish OPD Directions of Spectrally-Resolved Interferometry [PDF]

open access: yes한국정밀공학회지, 2017
Spectrally resolved interferometry (SRI) is an attractive technique to measure absolute distances without any moving components. In the spectral interferogram obtained by a spectrometer, the optical path difference (OPD) can simply be extracted from the ...
Young Ho Yun, Dae Hee Kim, Ki-Nam Joo
doaj   +1 more source

Some thoughts on the use of InSAR data to constrain models of surface deformation: Noise structure and data downsampling [PDF]

open access: yes, 2005
Repeat-pass Interferometric Synthetic Aperture Radar (InSAR) provides spatially dense maps of surface deformation with potentially tens of millions of data points. Here we estimate the actual covariance structure of noise in InSAR data.
Lohman, Rowena B., Simons, Mark
core   +2 more sources

Phase Extraction from Single Interferogram Including Closed-Fringe Using Deep Learning

open access: yesApplied Sciences, 2019
In an optical measurement system using an interferometer, a phase extracting technique from interferogram is the key issue. When the object is varying in time, the Fourier-transform method is commonly used since this method can extract a phase image from
Daichi Kando   +3 more
doaj   +1 more source

New SAR Interferogram denoising method via sparse recovery based on L0 norm [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
The goal of this paper is to estimate a denoised phase image from the observed noisy SAR interferogram. We proposed a linear model to obtain a sparse representation of the interferomteric phase image.
W. Ben Abdallah, R. Abdelfattah
doaj   +1 more source

Estimating the phase in ground-based interferometry: performance comparison between single-mode and multimode schemes [PDF]

open access: yes, 2010
In this paper we compare the performance of multi and single-mode interferometry for the estimation of the phase of the complex visibility. We provide a theoretical description of the interferometric signal which enables to derive the phase error in ...
A. Chelli   +29 more
core   +4 more sources

Generative Modeling of InSAR Interferograms [PDF]

open access: yesEarth and Space Science, 2019
AbstractInterferometric synthetic aperture radar (InSAR) has become an essential technique to detect surface variations due to volcanoes, earthquakes, landslides, glaciers, and aquifers. However, Earth's ionosphere, atmosphere, vegetation, surface runoff, etc., introduce noise that requires post‐processing to separate its components.
Guillaume Rongier   +3 more
openaire   +3 more sources

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