GLFFNet: Global–Local Feature Fusion Network for High-Resolution Remote Sensing Image Semantic Segmentation

GLFFNet: Global–Local Feature Fusion Network for High-Resolution Remote Sensing Image Semantic Segmentation

Although hybrid models based on convolutional neural network (CNN) and Transformer can extract features encompassing both global and local information, they still face two challenges in addressing the semantic segmentation task of high-resolution remote sensing (HR<sup>2</sup>S) images....

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Bibliographic Details
Main Authors: Saifeng Zhu, Liaoying Zhao, Qingjiang Xiao, Jigang Ding, Xiaorun Li
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Remote Sensing
Subjects:
high-resolution remote sensing images
semantic segmentation
detailed information
global–local feature fusion
VMamba
Online Access:https://www.mdpi.com/2072-4292/17/6/1019
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