F-UNet++: Remote Sensing Image Fusion Based on Multipurpose Adaptive Shuffle Attention and Composite Multi-Input Reconstruction Network

Author:

Jin Xin1ORCID,Zhang Pingfan1ORCID,Jiang Qian1ORCID,Miao Shengfa1ORCID,Yao Shaowen1ORCID,Zhou Wei1ORCID

Affiliation:

1. Engineering Research Center of Cyberspace and the School of Software, Yunnan University, Kunming, China

Funder

National Natural Science Foundation of China

Basic Research Project of Yunnan Province

Major Scientific and Technological Project of Yunnan Province

Key Laboratory in Software Engineering of Yunnan Province

Science Research Foundation Project of Yunnan Education Department

Research and Application of Object Detection Based on Artificial Intelligence

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Reference63 articles.

1. UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

2. Attention-based multistage fusion network for remote sensing image pansharpening;zhang;IEEE Trans Geosci Remote Sens,2021

3. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

4. BERT: Pre-training of deep bidirectional transformers for language understanding;devlin;arXiv 1810 04805,2018

5. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst,2017

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