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This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noise estimation of HSIs will benefit subsequent remote sensing techniques significantly. This book develops on two fronts: On the one hand, it is aimed at domain professionals who want to have an updated overview of how hyperspectral acquisition techniques can combine with deep learning architectures to solve specific tasks in different application fields. On the other hand, the authors want to target the machine learning and computer vision experts by giving them a picture of how deep learning technologies are applied to hyperspectral data from a multidisciplinary perspective. The presence of these two viewpoints and the inclusion of application fields of remote sensing by deep learning are the original contributions of this review, which also highlights some potentialities and critical issues related to the observed development trends.

Image processing --- Digital techniques. --- Digital image processing --- Digital electronics --- Machine learning. --- Artificial intelligence. --- Computer vision. --- Signal processing. --- Machine Learning. --- Artificial Intelligence. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Computer Vision. --- Signal, Speech and Image Processing . --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Learning, Machine

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Electronics --- Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- signal processing --- grafische vormgeving --- programmeren (informatica) --- KI (kunstmatige intelligentie) --- signaalprocessoren --- signaalverwerking