What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Remote sensing
Fumio Yamazaki mainly focuses on Remote sensing, Structural engineering, Image resolution, Seismology and Intensity.
The Change detection research Fumio Yamazaki does as part of his general Remote sensing study is frequently linked to other disciplines of science, such as Extraction, therefore creating a link between diverse domains of science.
His Structural engineering research is multidisciplinary, incorporating elements of Discrete element method and Geotechnical engineering.
His research investigates the link between Image resolution and topics such as Land cover that cross with problems in Satellite imagery, Cartography and Shuttle Radar Topography Mission.
His studies in Seismology integrate themes in fields like Survey data collection and Visual inspection.
His research investigates the connection with Intensity and areas like Frequency domain which intersect with concerns in Scale.
His most cited work include:
- Neumann Expansion for Stochastic Finite Element Analysis (398 citations)
- Digital Generation of Non‐Gaussian Stochastic Fields (238 citations)
- Use of Satellite SAR Intensity Imagery for Detecting Building Areas Damaged Due to Earthquakes (199 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Remote sensing, Seismology, Geodesy, Synthetic aperture radar and Damage detection.
His Remote sensing study combines topics from a wide range of disciplines, such as Image resolution, Pixel and Computer vision.
His Image resolution study introduces a deeper knowledge of Artificial intelligence.
His Seismology study frequently links to related topics such as Geotechnical engineering.
His studies deal with areas such as Attenuation, Intensity, Global Positioning System and Displacement as well as Geodesy.
His work carried out in the field of Synthetic aperture radar brings together such families of science as Radar, Radar imaging, Correlation coefficient and Backscatter.
He most often published in these fields:
- Remote sensing (37.36%)
- Seismology (28.85%)
- Geodesy (12.64%)
What were the highlights of his more recent work (between 2013-2021)?
- Remote sensing (37.36%)
- Seismology (28.85%)
- Synthetic aperture radar (10.16%)
In recent papers he was focusing on the following fields of study:
Fumio Yamazaki spends much of his time researching Remote sensing, Seismology, Synthetic aperture radar, Geodesy and Extraction.
He performs multidisciplinary study in Remote sensing and High resolution in his work.
His Seismology study combines topics in areas such as Geological survey, Lidar data and Global Positioning System.
His research in Synthetic aperture radar focuses on subjects like Land cover, which are connected to Cartography.
His biological study spans a wide range of topics, including Intensity, Lidar, Displacement and Interferometric synthetic aperture radar.
His Displacement study integrates concerns from other disciplines, such as Pixel and Fault.
Between 2013 and 2021, his most popular works were:
- Learning Change from Synthetic Aperture Radar Images: Performance Evaluation of a Support Vector Machine to Detect Earthquake and Tsunami-Induced Changes (31 citations)
- Automated Extraction of Inundated Areas from Multi-Temporal Dual-Polarization RADARSAT-2 Images of the 2011 Central Thailand Flood (26 citations)
- 3D gray level co-occurrence matrix and its application to identifying collapsed buildings (24 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Remote sensing
His primary scientific interests are in Remote sensing, Seismology, Synthetic aperture radar, Geodesy and Support vector machine.
In his work, he performs multidisciplinary research in Remote sensing and High resolution.
In general Seismology, his work in Strong ground motion is often linked to Extraction linking many areas of study.
His Synthetic aperture radar research is multidisciplinary, incorporating perspectives in Land cover and Phased array.
Fumio Yamazaki combines subjects such as Displacement, Interferometric synthetic aperture radar, Intensity, Radar and Global Positioning System with his study of Geodesy.
Fumio Yamazaki has included themes like Classifier, Change detection and Hyperspectral imaging in his Support vector machine study.
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