C3Net: Cross-Modal Feature Recalibrated, Cross-Scale Semantic Aggregated and Compact Network for Semantic Segmentation of Multi-Modal High-Resolution Aerial Images

C3Net: Cross-Modal Feature Recalibrated, Cross-Scale Semantic Aggregated and Compact Network for Semantic Segmentation of Multi-Modal High-Resolution Aerial Images

Semantic segmentation of multi-modal remote sensing images is an important branch of remote sensing image interpretation. Multi-modal data has been proven to provide rich complementary information to deal with complex scenes. In recent years, semantic segmentation based on deep learning methods has...

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Bibliographic Details
Main Authors: Zhiying Cao, Wenhui Diao, Xian Sun, Xiaode Lyu, Menglong Yan, Kun Fu
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
semantic segmentation
multi-modal learning
deep neural network design
Online Access:https://www.mdpi.com/2072-4292/13/3/528

Internet

https://www.mdpi.com/2072-4292/13/3/528

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