Real-Time Semantic Segmentation of Remote Sensing Images Based on Bilateral Attention Refined Network

Real-Time Semantic Segmentation of Remote Sensing Images Based on Bilateral Attention Refined Network

The trade-off between feature representation capability and spatial positioning accuracy is crucial to dense classification or semantic segmentation of remote sensing images. In order to better balance the low-level spatial details in the shallow network and the high-level abstract semantics in the...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Jiali Cai, Chunjuan Liu, Haowen Yan, Xiaosuo Wu, Wanzhen Lu, Xiaoyu Wang, Changlin Sang
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: IEEE 2021-01-01
Sarja:IEEE Access
Aiheet:
Remote sensing image
real-time semantic segmentation
local attention enhancement module
global context embedding module
multi-label category loss
Linkit:https://ieeexplore.ieee.org/document/9351928/

Internet

https://ieeexplore.ieee.org/document/9351928/

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