Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Surface Waterbody Detection from Satellite Imagery Using U-Net

Surface Waterbody Detection from Satellite Imagery Using U-Net

Biswas, Sitanath
Mudoi, Dipsikha

Paperback

General Computers

ISBN10: 620551575X
ISBN13: 9786205515754
Publisher: LAP Lambert Academic Publishing
Published: Nov 28 2024
Pages: 132
Weight: 0.45
Height: 0.31 Width: 6.00 Depth: 9.00
Language: English
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.

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