A STUDY ON CREATING DEEP LEARNING METHODS FOR ANALYZING AND CLASSIFYING REMOTE SENSING HYPERSPECTRAL IMAGES
Keywords:
Deep Learning, Hyperspectral Imaging, Remote Sensing, Convolutional Neural Networks (CNNs), Feature Extraction, Classification, Image Processing, Machine Learning, Autoencoders.Abstract
Remote sensing hyperspectral images (HSI) have gained significant attention due to their ability to provide detailed spectral information for a wide range of applications such as agriculture, urban planning, and environmental monitoring. Traditional methods for hyperspectral image analysis often fall short in handling the complex, high-dimensional data effectively.
References
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