Reprint
Advances in SAR: Sensors, Methodologies, and Applications
Edited by
October 2018
530 pages
- ISBN978-3-03897-182-5 (Paperback)
- ISBN978-3-03897-183-2 (PDF)
This is a Reprint of the Special Issue Advances in SAR: Sensors, Methodologies, and Applications that was published in
Engineering
Environmental & Earth Sciences
Summary
The key importance of radar remote sensing for civil applications has been recognized for decades, and enormous scientific and technical developments have been carried out to further improve SAR sensors and SAR data processing.<false,>In recent years, SAR satellite constellations, consisting of two or more satellites, are becoming the “new normal” in SAR remote sensing. The present availability of SAR sensor constellations, such as Cosmo SkyMed, TerraSAR-X/TanDEM-X, and the new Copernicus sensors Sentinel-1A and 1B, supply a continuous stream of imagery with a unique short revisit cycle of only six days. Together with many more operational and planned SAR satellite systems, such as Geo-Fen 3 or NASA ISRO SAR (NISAR), this unprecedented amount of high-quality SAR data is suitable for a variety of applications, provided proper data processing methodology are applied.<false,>In "Advances in SAR: Sensors, Methodologies, and Applications" advancements in the field of hardware, software, and applications are presented, covering a wide range of topics.<false,>
Format
- Paperback
License and Copyright
© 2019 by the authors; CC BY license
Keywords
statistical modeling; polarimetric SAR; texture models; finite mixture models; copulas; ALOS PALSAR; multi-temporal analysis; resource monitoring; refugee camps; synthetic aperture radar (SAR); Synthetic Aperture Radar (SAR); Integral Equation Model (IEM); random fractal geometry; video synthetic aperture radar; multiple-input multiple-output; multi-channel azimuth processing; frequency-modulated continuous waveform; beat frequency division; polar format algorithm; polarimetric synthetic aperture radar (PolSAR); segmentation; high-resolution; fractal net evolution approach (FNEA); G0 distribution; simple linear iterative clustering (SLIC); multi-feature; superpixels; InSAR; persistent scatterers; geodesy; corner reflector; point target; interferometry; Synthetic Aperture Radar; calibration and validation; polarimetric synthetic aperture radar (PolSAR); polarimetric feature; polarimetric matrix rotation; polarimetric coherence pattern; rotation domain; feature selection; classification; SAR; pre-flight testing; SAR performance; synthetic aperture radar; interferometry; phase unwrapping; split-band; multichromatic analysis; deformation monitoring; elevation extraction; InSAR; LLL lattice reduction; long–short baseline iteration; Lupu Bridge; SAR; ground moving target; single-look complex data; Doppler spectrum; residual focusing; landslide; the Three Gorges; corner reflector; split-bandwidth interferometry; sparse representation classification (SRC); multi-layer structure; multi-feature fusion; multi-scale; SAR image; Faraday rotation; polarimetric synthetic aperture radar; Phase Array L-band Synthetic Aperture Radar; computerized ionospheric tomography; International Reference Ionosphere; International Geomagnetic Reference Field; SAR; Radio Frequency Interferences; Synthetic Aperture Radar; Geosynchronous SAR; water mapping; surface water; wetland; SAR; RADARSAT-2; histogram; threshold; segmentation; superpixel; sub-pixel offset tracking; small baseline subset (SBAS); TerraSAR-X Staring Spotlight (TSX-ST); very slow landslide; Three Gorges Region (TGR); synthetic aperture radar; rough surfaces; fractals; n/a; accelerated backprojection algorithm; bistatic SAR; monostatic SAR; bulk processing; InSAR; temporal coherence modeling; L-band; Interior Alaska; multi-baseline InSAR; maximum likelihood (ML); DEM; L-band; ALOS/PALSAR; TomoSAR; multi-baseline SAR; unified algorithm; channel imbalance; APC position; DInSAR; SBAS; ground deformation; atmosphere correction; elastic modelling; reservoir monitoring; Toktogul Reservoir; InSAR; orbital error; deformation monitoring; fringe rate estimation; K-cross validation; InSAR; Persistent Scatterer; Distributed Scatterer; preprocessing; adaptive neighborhood; covariance; coherence; deformation; natural disasters; anthropogenic disasters; Sentinel-1; Coherence Change-Detection; n/a