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portada Semantic Segmentation using Deep Learning
Type
Physical Book
Language
Inglés
Pages
60
Format
Paperback
Dimensions
22.9 x 15.2 x 0.4 cm
Weight
0.10 kg.
ISBN13
9786207466214

Semantic Segmentation using Deep Learning

Meenu Vijarania (Author) · Swati Gupta (Author) · LAP Lambert Academic Publishing · Paperback

Semantic Segmentation using Deep Learning - Vijarania, Meenu ; Gupta, Swati

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Origin: U.S.A. (Import costs included in the price)
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Synopsis "Semantic Segmentation using Deep Learning"

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.

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