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...

Bibliografske podrobnosti
Main Authors:	Zhiying Cao, Wenhui Diao, Xian Sun, Xiaode Lyu, Menglong Yan, Kun Fu
Format:	Article
Jezik:	English
Izdano:	MDPI AG 2021-02-01
Serija:	Remote Sensing
Teme:	semantic segmentation multi-modal learning deep neural network design
Online dostop:	https://www.mdpi.com/2072-4292/13/3/528

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