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Saeid Homayouni

Researcher at Institut national de la recherche scientifique

Publications -  176
Citations -  2952

Saeid Homayouni is an academic researcher from Institut national de la recherche scientifique. The author has contributed to research in topics: Hyperspectral imaging & Support vector machine. The author has an hindex of 20, co-authored 142 publications receiving 1726 citations. Previous affiliations of Saeid Homayouni include University of Tehran & Ottawa University.

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Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review

TL;DR: A meta-analysis of 251 peer-reviewed journal papers relevant to remote sensing image classification and a comparative analysis regarding the performances of RF and SVM classification against various parameters is applied.
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The First Wetland Inventory Map of Newfoundland at a Spatial Resolution of 10 m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform

TL;DR: This study introduces the first detailed, provincial-scale wetland inventory map of one of the richest Canadian provinces in terms of wetland extent and suggests a paradigm-shift from standard static products and approaches toward generating more dynamic, on-demand, large- scale wetland coverage maps through advanced cloud computing resources that simplify access to and processing of the “Geo Big Data.”
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RADARSAT-2 Polarimetric SAR Response to Crop Biomass for Agricultural Production Monitoring

TL;DR: This study demonstrates that polarimetric SAR responds to accumulation of dry biomass, but as well that several radar parameters can uniquely identify changes in crop structure and phenology.
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Anomaly Detection in Hyperspectral Images Based on an Adaptive Support Vector Method

TL;DR: An attempt to address the main problem using the Gaussian kernel-based AD methods is the optimal setting of sigma, with a direct and adaptive measure based on a geometric interpretation of the GK-SVDD.