What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Optics
- Mathematical analysis
Daniele Riccio spends much of her time researching Synthetic aperture radar, Scattering, Remote sensing, Radar imaging and Computer vision.
Her Synthetic aperture radar research incorporates themes from Algorithm, Fourier transform and Data mining.
Her Scattering study incorporates themes from Surface finish, Fractal and Geometry.
Her Remote sensing research integrates issues from Physical model, Simulation and Interferometry.
Her Radar imaging research is multidisciplinary, incorporating perspectives in Focus and Feature extraction.
Her Computer vision research is multidisciplinary, relying on both Inverse synthetic aperture radar, Fast Fourier transform and Artificial intelligence.
Her most cited work include:
- SARAS: a synthetic aperture radar (SAR) raw signal simulator (279 citations)
- A canonical problem in electromagnetic backscattering from buildings (209 citations)
- SAR raw signal simulation for urban structures (115 citations)
What are the main themes of her work throughout her whole career to date?
Daniele Riccio mostly deals with Synthetic aperture radar, Remote sensing, Scattering, Radar imaging and Fractal.
Her study in Synthetic aperture radar is interdisciplinary in nature, drawing from both Inverse synthetic aperture radar, Feature extraction and Image resolution.
In the field of Remote sensing, her study on Interferometric synthetic aperture radar, Backscatter and Digital elevation model overlaps with subjects such as High resolution.
She interconnects Polarimetry, Mathematical analysis, Classical mechanics, Surface and Statistical physics in the investigation of issues within Scattering.
The various areas that Daniele Riccio examines in her Fractal study include Geometry and Optics.
Her studies deal with areas such as Data mining and Pattern recognition as well as Artificial intelligence.
She most often published in these fields:
- Synthetic aperture radar (52.08%)
- Remote sensing (46.01%)
- Scattering (31.95%)
What were the highlights of her more recent work (between 2015-2021)?
- Synthetic aperture radar (52.08%)
- Remote sensing (46.01%)
- Scattering (31.95%)
In recent papers she was focusing on the following fields of study:
Her main research concerns Synthetic aperture radar, Remote sensing, Scattering, Artificial intelligence and RGB color model.
She undertakes interdisciplinary study in the fields of Synthetic aperture radar and Mode through her research.
Her studies in Remote sensing integrate themes in fields like Segmentation, Clutter, GNSS applications, Water content and Sensor fusion.
Her Scattering research includes themes of Polarimetry, Polarization, Computational physics, Geometrical optics and Bistatic radar.
Her Artificial intelligence study deals with Computer vision intersecting with Inverse synthetic aperture radar.
Daniele Riccio has researched RGB color model in several fields, including Data mining and Cluster analysis.
Between 2015 and 2021, her most popular works were:
- Unsupervised Rapid Flood Mapping Using Sentinel-1 GRD SAR Images (41 citations)
- Scattering-Based Nonlocal Means SAR Despeckling (32 citations)
- Sea Target Detection Using Spaceborne GNSS-R Delay-Doppler Maps: Theory and Experimental Proof of Concept Using TDS-1 Data (29 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Optics
- Mathematical analysis
Her scientific interests lie mostly in Synthetic aperture radar, Remote sensing, Artificial intelligence, Scattering and Sensor fusion.
Her Synthetic aperture radar study integrates concerns from other disciplines, such as Segmentation, Image segmentation, Interpretability, RGB color model and Feature extraction.
Her Remote sensing study combines topics from a wide range of disciplines, such as Fractal, GNSS applications and Data set.
Her research in Artificial intelligence intersects with topics in Computer vision and Pattern recognition.
Daniele Riccio has included themes like Inverse synthetic aperture radar and Statistical classification in her Computer vision study.
Her work deals with themes such as Soil water, Polarimetry and Computational physics, which intersect with Scattering.
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