BES-Net: Boundary Enhancing Semantic Context Network for High-Resolution Image Semantic Segmentation

BES-Net: Boundary Enhancing Semantic Context Network for High-Resolution Image Semantic Segmentation

This paper focuses on the high-resolution (HR) remote sensing images semantic segmentation task, whose goal is to predict semantic labels in a pixel-wise manner. Due to the rich complexity and heterogeneity of information in HR remote sensing images, the ability to extract spatial details (boundary...

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Bibliographic Details
Main Authors: Fenglei Chen, Haijun Liu, Zhihong Zeng, Xichuan Zhou, Xiaoheng Tan
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
remote sensing images
semantic segmentation
boundary enhancing semantic context
fully convolutional network
Online Access:https://www.mdpi.com/2072-4292/14/7/1638

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https://www.mdpi.com/2072-4292/14/7/1638

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