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

Current spectroscopic based erosion diagnostics require both Te and ne measurements in addition to detailed atomic physics and collisional radiative (CR) modeling.Machine Learning (ML) techniques are used to address the temperature measurement requirement best 6.7 powerstroke intercooler pipe upgrade for erosion diagnosis.ML techniques are combined

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