Weighted Feature Fusion Network Based on Large Kernel Convolution and Transformer for Multi-Modal Remote Sensing Image Segmentation

Weighted Feature Fusion Network Based on Large Kernel Convolution and Transformer for Multi-Modal Remote Sensing Image Segmentation

The heterogeneity and complexity of multi-modal data in high-resolution remote sensing images posed a severe challenge to existing cross-modal networks that aim to fuse complementary information of high-resolution optical and elevation data information (DSM) to achieve accurate semantic segmentation...

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Bibliographic Details
Main Authors: Jianxia Wang, Shaozu Qiu, Jia Cai, Xiaoming Zhang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Multi-modal
large convolution kernel
remote sensing image
semantic segmentation
feature fusion
Online Access:https://ieeexplore.ieee.org/document/11123171/
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https://ieeexplore.ieee.org/document/11123171/

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