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Radio astronomical images object detection and segmentation: a benchmark on deep learning methods

Renato Sortino, Daniel Magro, Giuseppe Fiameni, ‬‬‬‬‬‬Eva Sciacca, S. Riggi, Andrea DeMarco, Concetto Spampinato, Andrew Hopkins, F. Bufano, F. Schillirò, Cristóbal Bordiú, Carmelo Pino

2023Experimental Astronomy17 citationsDOI

Topics & Concepts

Computer scienceTask (project management)SegmentationBenchmark (surveying)Deep learningObject detectionArtificial intelligenceRadio astronomyRadio telescopeObject (grammar)Instrumentation (computer programming)TelescopeInterferometryDomain (mathematical analysis)Computer visionAstronomyPhysicsSystems engineeringGeographyGeodesyMathematicsEngineeringMathematical analysisOperating systemRadio Astronomy Observations and TechnologyAstrophysics and Cosmic PhenomenaSoil Moisture and Remote Sensing
Radio astronomical images object detection and segmentation: a benchmark on deep learning methods | Litcius