DBCG-Net: Dual Branch Calibration Guided Deep Network for UAV Images Semantic Segmentation

DBCG-Net: Dual Branch Calibration Guided Deep Network for UAV Images Semantic Segmentation

Unmanned aerial vehicle (UAV) remote sensing images used for semantic segmentation possess distinct features compared to urban street scene images, including high resolution and a complex background. Spatial information plays a pivotal role in enhancing the performance of semantic segmentation for h...

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Bibliographic Details
Main Authors: Chaoyun Mai, Yibo Wu, Yikui Zhai, Hao Quan, Jianhong Zhou, Angelo Genovese, Vincenzo Piuri, Fabio Scotti
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
deep learning
dual-branch calibration guided network
semantic segmentation
unmanned aerial vehicles (UAVs)
Online Access:https://ieeexplore.ieee.org/document/10475391/

Internet

https://ieeexplore.ieee.org/document/10475391/

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