The GLC_FCS10 is a novel global land-cover product at 10 m with fine classification system containing 30 fine land-cover types, it is generated by a hierarchical land-cover mapping framework from Sent
Machine learning offers the potential for effective and efficient classification of remotely sensed imagery. The strengths of machine learning include the capacity to handle data of high dimensionalit
The table represents the classification accuracy with perfect classification in Sun-exposed and very high accuracy in Sun-protected skin samples using the prioritized list of 30 metabolites through Ra
The WuhanUIS dataset was independently constructed in this study to support experiments on urban informal settlements (UIS) classification. Specific areas in Wuhan were first identified, and street-le