dc.contributor.author |
Saqellari-Likoka, A |
en |
dc.contributor.author |
Karathanassi, V |
en |
dc.date.accessioned |
2014-03-01T02:45:06Z |
|
dc.date.available |
2014-03-01T02:45:06Z |
|
dc.date.issued |
2008 |
en |
dc.identifier.issn |
0196-2892 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/32148 |
|
dc.subject |
Atmospheric measurements |
en |
dc.subject |
Interferometry |
en |
dc.subject |
Singular value decomposition |
en |
dc.subject |
Synthetic aperture radar (SAR) |
en |
dc.subject.classification |
Geochemistry & Geophysics |
en |
dc.subject.classification |
Engineering, Electrical & Electronic |
en |
dc.subject.classification |
Remote Sensing |
en |
dc.subject.other |
Atmospherics |
en |
dc.subject.other |
Errors |
en |
dc.subject.other |
Geodetic satellites |
en |
dc.subject.other |
Geomorphology |
en |
dc.subject.other |
Hydraulic models |
en |
dc.subject.other |
Image enhancement |
en |
dc.subject.other |
Imaging systems |
en |
dc.subject.other |
Problem solving |
en |
dc.subject.other |
Radar |
en |
dc.subject.other |
Signal filtering and prediction |
en |
dc.subject.other |
Synthetic aperture radar |
en |
dc.subject.other |
Synthetic apertures |
en |
dc.subject.other |
Target drones |
en |
dc.subject.other |
Vapors |
en |
dc.subject.other |
Water content |
en |
dc.subject.other |
Water vapor |
en |
dc.subject.other |
Atmospheric measurements |
en |
dc.subject.other |
Interferometry |
en |
dc.subject.other |
Singular value decomposition |
en |
dc.subject.other |
Synthetic aperture radar (SAR) |
en |
dc.subject.other |
Mathematical techniques |
en |
dc.title |
An approach for solving rank-deficient systems that enable atmospheric path delay and water vapor content estimation |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/TGRS.2008.921744 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/TGRS.2008.921744 |
en |
heal.identifier.secondary |
4637973 |
en |
heal.language |
English |
en |
heal.publicationDate |
2008 |
en |
heal.abstract |
This paper develops mathematical techniques and makes use of interferometric synthetic aperture radar (InSAR) for improving the quality of digital elevation models derived from SAR images and providing accurate estimations of atmospheric path and absolute phase delays and water vapor content estimation. The problem of solving parameters such as atmospheric path delay, height, and unwrapping errors is to be described in a mathematical form that uses QR factorization techniques for solving rank-deficient systems. A new approach for the solution of rank-deficient systems with few independent equations is proposed. In the new approach, the bounds are considered known and provided by the eigenvalues. New eigenvalues are added inside the bounds. During the implementation, attention is given not to exceed the bounds of the reorganized matrix. This approach is the first time that is used for phase parameterization in terms of height, tropospheric delay, and phase unwrapping errors. Expanding the approach was also studied for absolute phase delay and water vapor content estimation. The investigation and the implementation of the approach make use of ENVISAT images. The validation of results was implemented through GPS and meteorological measurements. © 2008 IEEE. |
en |
heal.publisher |
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
en |
heal.journalName |
IEEE Transactions on Geoscience and Remote Sensing |
en |
dc.identifier.doi |
10.1109/TGRS.2008.921744 |
en |
dc.identifier.isi |
ISI:000260000400013 |
en |
dc.identifier.volume |
46 |
en |
dc.identifier.issue |
10 |
en |
dc.identifier.spage |
3187 |
en |
dc.identifier.epage |
3195 |
en |