INTEGRATION OF CONVOLUTIONAL NEURAL NETWORKS AND OBJECT-BASED POST-CLASSIFICATION REFINEMENT FOR LAND USE AND LAND COVER MAPPING WITH OPTICAL AND SAR DATA

Integration of Convolutional Neural Networks and Object-Based Post-Classification Refinement for Land Use and Land Cover Mapping with Optical and SAR Data

Object-based image analysis (OBIA) has been widely used for land use and land cover (LULC) mapping using optical and synthetic aperture radar (SAR) images because it can utilize spatial information, reduce the effect of salt and pepper, and delineate LULC boundaries.With recent advances in machine learning, convolutional neural networks (CNNs) have

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Cognitive therapies and their impact on neuropsychiatric symptoms in mild cognitive impairment or dementia: a scoping review

To date, the impact of cognitive therapies on patients with dementia and mild cognitive impairment (MCI) has been studied in terms of cognition, quality of life and activities of daily living rather than in the context of neuropsychiatric symptoms (NPS).The objective of this scoping review was to collect evidence that different cognitive therapies

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