ViT-UNet: A Vision Transformer Based UNet Model for Coastal Wetland Classification Based on High Spatial Resolution Imagery

ViT-UNet: A Vision Transformer Based UNet Model for Coastal Wetland Classification Based on High Spatial Resolution Imagery

High resolution remote sensing imagery plays a crucial role in monitoring coastal wetlands. Coastal wetland landscapes exhibit diverse features, ranging from fragmented patches to expansive areas. Mainstream convolutional neural networks cannot effectively analyze spatial relationships among consecu...

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Bibliographic Details
Main Authors: Nan Zhou, Mingming Xu, Biaoqun Shen, Ke Hou, Shanwei Liu, Hui Sheng, Yanfen Liu, Jianhua Wan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Gaofen-1
high spatial resolution
vision transformer (ViT)
wetland classification
Online Access:https://ieeexplore.ieee.org/document/10737119/
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https://ieeexplore.ieee.org/document/10737119/

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