A new framework for improving semantic segmentation in aerial imagery

A new framework for improving semantic segmentation in aerial imagery

High spatial resolution (HSR) remote sensing imagery presents a rich tapestry of foreground-background intricacies, rendering semantic segmentation in aerial contexts a formidable and vital undertaking. At its core, this challenge revolves around two pivotal questions: 1) Mitigating Background Inter...

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Bibliographic Details
Main Authors: Shuke He, Chen Jin, Lisheng Shu, Xuzhi He, Mingyi Wang, Gang Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Remote Sensing
Subjects:
deep learning
aerial imagery
remote sensing segmentation
foreground saliency enhancement
small objects semantic segmentation
Online Access:https://www.frontiersin.org/articles/10.3389/frsen.2024.1370697/full

Internet

https://www.frontiersin.org/articles/10.3389/frsen.2024.1370697/full

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