Green Space Reverse Pixel Shuffle Network: Urban Green Space Segmentation Using Reverse Pixel Shuffle for Down-Sampling from High-Resolution Remote Sensing Images

Green Space Reverse Pixel Shuffle Network: Urban Green Space Segmentation Using Reverse Pixel Shuffle for Down-Sampling from High-Resolution Remote Sensing Images

Urban green spaces (UGS) play a crucial role in the urban environmental system by aiding in mitigating the urban heat island effect, promoting sustainable urban development, and ensuring the physical and mental well-being of residents. The utilization of remote sensing imagery enables the real-time...

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Bibliographic Details
Main Authors: Mingyu Jiang, Hua Shao, Xingyu Zhu, Yang Li
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Forests
Subjects:
urban green space
high-resolution remote sensing imagery
deep learning
semantic segmentation
Online Access:https://www.mdpi.com/1999-4907/15/1/197

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