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  • Deep Learning for Synthetic Aperture Radar Remote Sensing

    Deep Learning for Synthetic Aperture Radar Remote Sensing delves into the transformative synergy between synthetic aperture radar (SAR) and cutting-edge machine learning techniques. Traditionally rooted in signal processing, SAR's active imaging capabilities rise above optical limitations, offering resilience to environmental factors like cloud cover. This book showcases how machine learning ... Read more

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  • The Future of Phylogenetic Systematics

    The Legacy of Willi Hennig

    Series Book 86 - Systematics Association Special Volume Series
    Willi Hennig (1913–76), founder of phylogenetic systematics, revolutionised our understanding of the relationships among species and their natural classification. An expert on Diptera and fossil insects, Hennig's ideas were applicable to all organisms. He wrote about the science of taxonomy or systematics, refining and promoting discussion of the precise meaning of the term 'relationship', the ... Read more

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  • Autonomous Intelligent Vehicles

    Theory, Algorithms, and Implementation

    by Hong Cheng ...
    Series series Computer Science (R0)
    This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics ... Read more

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  • GeoAI for Earth Observation Imagery

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    Edited by Dalton Lunga, Ronny Hänsch ...
    GeoAI for Earth Observation Imagery: Fundamentals and Practical Applications comprehensively covers methodologies of AI and Machine Learning applications of image processing for Earth Observation (EO) Imagery. As traditional image processing methods face challenges with handling vast volumes of EO imagery, leading to efficiencies and limitations when extracting meaningful insights, AI-driven ... Read more

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  • Machine Learning for Transportation Research and Applications

    Transportation is a combination of systems that presents a variety of challenges often too intricate to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle challenging transportation problems. This textbookis designed for college or graduate-level students in transportation or closely related fields ... Read more

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  • Supervised Learning in Remote Sensing and Geospatial Science

    Supervised Learning in Remote Sensing and Geospatial Science is an invaluable resource focusing on practical applications of supervised learning in remote sensing and geospatial data science. Emphasizing practicality, the book delves into creating labeled datasets for training and evaluating models. It addresses common challenges like data imbalance and offers methods for assessing model ... Read more

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  • Digital Analysis of Remotely Sensed Imagery

    by Jay Gao ...
    An important text that identifies and introduces new trends in image analysisDigital Analysis of Remotely Sensed Imagery provides thorough coverage of the entire process of analyzing remotely sensed data for the purpose of producing accurate representations in thematic map format. Written in easy-to-follow language with minimal technical jargon, the book explores cutting-edge techniques and trends ... Read more

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  • Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems

    Applications in Drone Navigation and Radar Sensing

    Series series Engineering (R0)
    This book provides novel theoretical foundations and experimental demonstrations of Spiking Neural Networks (SNNs) in tasks such as radar gesture recognition for IoT devices and autonomous drone navigation using a fusion of retina-inspired event-based camera and radar sensing. The authors describe important new findings about the Spike-Timing-Dependent Plasticity (STDP) learning rule, which is ... Read more

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  • Deep Learning for the Earth Sciences

    A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences

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  • Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

    In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive ... Read more

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  • Artificial Neural Networks in Pattern Recognition

    7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28–30, 2016, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 7th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2016, held in Ulm, Germany, in September 2016.The 25 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 32 submissions for inclusion in this volume. The workshop will act as a major forum for ... Read more

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