Reprint
InSAR Signal and Data Processing
Edited by
September 2020
226 pages
- ISBN978-3-03936-984-3 (Hardback)
- ISBN978-3-03936-985-0 (PDF)
This book is a reprint of the Special Issue InSAR Signal and Data Processing that was published in
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary
Synthetic aperture radar (SAR) interferometry (InSAR) is an important remote sensing technology used for topographic mapping and deformation monitoring, and has created a new type of radar datum that has significantly evolved during the last couple of decades. This book includes the latest InSAR studies published in the Special Issue “InSAR Signal and Data Processing” of Sensors. We hope that readers of all levels will be able to gain a better understanding of InSAR as well as the when, how, and why of applying this technology.
Format
- Hardback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
time-series InSAR; subsidence; GNSS; coastal urban area; heterogeneous array; SAR imaging; data cross-placement; computing resource management; Gaofen-3 satellite; ScanSAR; interferometry; interferometric coherence; phase compensation; DEM geolocation; InSAR; Qinghai-Tibet Engineering Corridor; deformation; permafrost; interferometric synthetic aperture radar (InSAR); phase error calibration; phase difference measurement; under-sampling; coherent accumulation; SBAS-InSAR; deformation; rock salt mine; drilling solution mining; time series; phase unwrapping (PU); multi-baseline (MB); two-stage programming approach (TSPA); phase unwrapping max-flow/min-cut (PUMA); multibaseline interferometric synthetic aperture radar (InSAR); non-subsampled shearlet transform (NSST); kurtosis; noise level eatimation; coherence coefficient; DEM; DSM; hierarchical adaptive surface fitting; InSAR; markov random field; residue; persistent scatterers; polarimetric optimization; deformation monitoring; interferometric radar; helicopter landing; simulation model; n/a