Litcius/Paper detail

Selecting features for LULC simultaneous classification of ambiguous classes by artificial neural network

Franciele Marques Tolentino, Maria de Lourdes Bueno Trindade Galo

2021Remote Sensing Applications Society and Environment14 citationsDOIOpen Access PDF

Topics & Concepts

MacrophyteEnvironmental scienceVegetation (pathology)Context (archaeology)Aquatic plantMultispectral imageWater qualityComputer scienceEcologyArtificial intelligenceGeographyBiologyMedicinePathologyArchaeologyRemote Sensing in AgricultureRemote-Sensing Image ClassificationLand Use and Ecosystem Services
Selecting features for LULC simultaneous classification of ambiguous classes by artificial neural network | Litcius