DIPSIKHA MUDOI / SITANATH BISWAS
Librería Samer Atenea
Librería Aciertas (Toledo)
Kálamo Books
Librería Perelló (Valencia)
Librería Elías (Asturias)
Donde los libros
Librería Kolima (Madrid)
Librería Proteo (Málaga)
'Surface Waterbody Detection from Satellite Imagery Using U-Net: A Deep Learning Framework for Automated Analysis' is a definitive guide for leveraging advanced deep learning techniques to detect and monitor surface water bodies from satellite images. This book introduces the U-Net architecture, a powerful deep learning model, to automate the analysis of satellite imagery, enabling precise detection of waterbodies across diverse terrains and conditions.With a focus on practical applications, the book provides an in-depth walkthrough of the entire process, including data preprocessing, model training, validation, and performance evaluation using real-world datasets. It addresses key challenges such as handling noisy data, low-resolution imagery, and scalability for large-scale analyses.Whether you are a researcher, data scientist, or environmental analyst, this book equips you with the tools and insights needed to tackle real-world problems in environmental monitoring, disaster management, and resource planning. With detailed code examples, practical case studies, and a look into emerging trends, it empowers you to harness the potential of AI in satellite imagery analysis.
