RADAR: Remote Sensing Data Analysis by Alessandro Vinciarelli (.ePUB)+

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RADAR: Remote Sensing Data Analysis with Artificial Intelligence by Alessandro Vinciarelli, Sartajvir Singh, Narayan Vyas, Mona Abdelbaset Sadek Ali
Requirements: .ePUB, .PDF reader, 22.3 MB
Overview: The integration of Radio Detection and Ranging (RADAR) remote sensing and Artificial Intelligence (AI) provides a platform for understanding various Earth’s surface processes and their predictive analysis. This book offers state-of-the-art techniques and applications to address real-time challenges through AI-based RADAR remote sensing. Furthermore, it explores the potential applications of AI in emerging areas of remote sensing and image processing. RADAR remote sensing is a way of measuring objects on the surface using microwave signals. The basic concept involves the emission of a series of radio waves that are reflected by the surface and captured by the sensor. By outlining the synergy between RADAR and AI, this chapter outlines how these technologies contribute to more efficient and accurate remote sensing solutions. Machine Learning (ML) and Deep Learning (DL) are subfields of AI that have significantly boosted the efficiency of RADAR remote sensing.
Genre: Non-Fiction > Tech & Devices

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