Abstract: Synthetic aperture radar (SAR) data classification has gained significant research interest, as accurate land-cover information is vital in a wide range of planning and management activities ...
Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...
A comprehensive, standalone educational resource for learning remote sensing and digital image processing using Google Earth Engine. This course was originally developed at the University of Florida ...
ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...
Department of Information Systems, College of Computer Science and Engineering, Taibah University, Madinah, Saudi Arabia. Therefore, further exploration is vital to discover a complete set of risk ...
Abstract: In this work, we have developed a supervised and unsupervised based classification system to classify the animals. Initially, the animal images are segmented using maximal region merging ...
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