LMF-Net: A Learnable Multimodal Fusion Network for Semantic Segmentation of Remote Sensing Data

LMF-Net: A Learnable Multimodal Fusion Network for Semantic Segmentation of Remote Sensing Data

Semantic segmentation of remote sensing images has produced a significant effect on many applications, such as land cover, land use, and smoke detection. With the ever-growing remote sensing data, fusing multimodal data from different sensors is a feasible and effective scheme for semantic segmentat...

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Bibliographic Details
Main Authors: Jihao Li, Wenkai Zhang, Weihang Zhang, Ruixue Zhou, Chongyang Li, Boyuan Tong, Xian Sun, Kun Fu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning (DL)
learnable fusion
multimodal data
remote sensing
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/10833730/
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