Deep Learning for Hyperspectral Image Analysis and Classification

Introduction.- Hyperspectral Imaging System.- Classification Techniques for HSI.- Preprocessing: Noise Reduction/ Band Categorization for HSI.- Spatial Feature Extraction Using Segmentation.- Multiple Deep learning models for feature extraction in classification.- Deep learning for merging spatial and spectral information in classification.- Sparse cording for Hyperspectral Data.- Classification Applications of HSI classification.- Conclusion.

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• Visão por computador
• Processamento de imagens
• Aprendizagem mecânica
• Sistemas de imagem e tecnologia

Remote sensing;Hyperspectral image analysis;Deep learning;Stacked auto-encoder;Deep belief network;Segmented dbn;Noise estimation;Band categorization;Hidden markov random field