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Semantic Segmentation using Deep Learning
Details
This research addresses multifaceted environmental challenges linked to urbanization by introducing a transferable UNET model designed for precise greenery detection in high-resolution satellite imagery. The dataset, consisting of 72 images captured over Dubai by MBRSC satellites and annotated by the Roia Foundation, serves as the foundation of our study. While rooted in Dubai, the model's adaptability extends beyond regional confines, offering a versatile solution to a spectrum of global urban environmental challenges. In addition to accurate greenery detection, the UNET model provides a holistic approach to urban land cover classification.
Autorentext
Dr Meenu VijaraniaAssociate Professor CSE DepartmentK.R Mangalam University Gurgaon.Dr Swati GuptaAssociate Professor CSE DepartmentK.R Mangalam University Gurgaon.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786207466214
- Genre Information Technology
- Anzahl Seiten 60
- Größe H220mm x B220mm x T150mm
- Jahr 2024
- EAN 9786207466214
- Format Kartonierter Einband
- ISBN 978-620-7-46621-4
- Titel Semantic Segmentation using Deep Learning
- Autor Meenu Vijarania , Swati Gupta
- Untertitel DE
- Herausgeber LAP LAMBERT Academic Publishing
- Sprache Englisch