OCANet: An Overcomplete Convolutional Attention Network for Building Extraction From High-Resolution Remote Sensing Images

OCANet: An Overcomplete Convolutional Attention Network for Building Extraction From High-Resolution Remote Sensing Images

Building extraction from remote sensing (RS) image holds a crucial position in the fields of urban planning and sustainable development. In high-resolution (HR) RS images, the characteristics of buildings, including their shapes, structures, and textures, become increasingly complex. This complexity...

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Bibliographic Details
Main Authors: Bo Zhang, Jiajia Huang, Fan Wu, Wenjuan Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Building extraction
convolutional attention
overcomplete network
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/10701040/

Internet

https://ieeexplore.ieee.org/document/10701040/

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