Learning SAR-Optical Cross Modal Features for Land Cover Classification

Learning SAR-Optical Cross Modal Features for Land Cover Classification

Synthetic aperture radar (SAR) and optical images provide highly complementary ground information. The fusion of SAR and optical data can significantly enhance semantic segmentation inference results. However, the fusion methods for multimodal data remains a challenge for current research due to sig...

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Bibliographic Details
Main Authors: Yujun Quan, Rongrong Zhang, Jian Li, Song Ji, Hengliang Guo, Anzhu Yu
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
multimodal fusion
land cover classification
deep learning
semantic segmentation
Online Access:https://www.mdpi.com/2072-4292/16/2/431

Internet

https://www.mdpi.com/2072-4292/16/2/431

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