What is he best known for?
The fields of study he is best known for:
- Algorithm
- Radar
- Artificial intelligence
His primary areas of investigation include Synthetic aperture radar, Remote sensing, Interferometry, Radar imaging and Algorithm.
Jordi J. Mallorqui combines subjects such as Pixel and Geodesy with his study of Synthetic aperture radar.
His Remote sensing research incorporates elements of Radar, Settlement, Groundwater and Subsidence.
His study in Interferometry is interdisciplinary in nature, drawing from both Image resolution, Polarimetry, Phase, Motion compensation and Digital elevation model.
Jordi J. Mallorqui has researched Radar imaging in several fields, including Filter and Interferometric synthetic aperture radar.
The concepts of his Algorithm study are interwoven with issues in Microwave imaging, Microwave, Communications satellite and Iterative reconstruction.
His most cited work include:
- A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms (564 citations)
- Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images (551 citations)
- Imaging of biomedical data using a multiplicative regularized contrast source inversion method (288 citations)
What are the main themes of his work throughout his whole career to date?
Jordi J. Mallorqui mainly focuses on Remote sensing, Synthetic aperture radar, Interferometry, Polarimetry and Artificial intelligence.
Jordi J. Mallorqui studies Remote sensing, focusing on Digital elevation model in particular.
His Synthetic aperture radar research is multidisciplinary, relying on both Inverse synthetic aperture radar, Radar imaging, Algorithm and Phase.
The study incorporates disciplines such as Image resolution, Scattering, Displacement, Pixel and Decorrelation in addition to Interferometry.
His study on Polarimetric sar is often connected to Subsidence as part of broader study in Polarimetry.
The Artificial intelligence study combines topics in areas such as Computer vision and Pattern recognition.
He most often published in these fields:
- Remote sensing (58.99%)
- Synthetic aperture radar (54.84%)
- Interferometry (46.54%)
What were the highlights of his more recent work (between 2012-2021)?
- Interferometry (46.54%)
- Synthetic aperture radar (54.84%)
- Remote sensing (58.99%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Interferometry, Synthetic aperture radar, Remote sensing, Pixel and Polarimetry.
His Interferometry research is multidisciplinary, incorporating elements of Amplitude, Phase and Coherence.
His Synthetic aperture radar study combines topics in areas such as Image resolution and Subsidence.
His studies in Remote sensing integrate themes in fields like Landslide, Displacement and Group delay and phase delay.
His Pixel research integrates issues from Algorithm, Decorrelation and Scattering.
His work focuses on many connections between Artificial intelligence and other disciplines, such as Apodization, that overlap with his field of interest in Radar imaging, Side lobe and Main lobe.
Between 2012 and 2021, his most popular works were:
- Radar interferometry techniques for the study of ground subsidence phenomena: A review of practical issues through cases in Spain (98 citations)
- Atmospheric Phase Screen Compensation in Ground-Based SAR With a Multiple-Regression Model Over Mountainous Regions (66 citations)
- Comparison between Differential SAR interferometry and ground measurements data in the displacement monitoring of the earth-dam of Conza della Campania (Italy) (46 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Artificial intelligence
- Radar
Jordi J. Mallorqui mostly deals with Interferometry, Remote sensing, Synthetic aperture radar, Displacement and Polarimetry.
He combines Interferometry and Context in his studies.
Jordi J. Mallorqui has included themes like Landslide, Constant false alarm rate and Coherence in his Remote sensing study.
His research integrates issues of Phase, Detector, Pixel, Clutter and Subsidence in his study of Synthetic aperture radar.
His Displacement research includes elements of Remote sensing, Settlement and Geodesy.
His work is dedicated to discovering how Polarimetry, Terrain are connected with Decorrelation and other disciplines.
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