STCP: Synergistic Transformer and Convolutional Neural Network for Pansharpening-Reference-Cited by-同舟云学术

STCP: Synergistic Transformer and Convolutional Neural Network for Pansharpening

Author:

Su Zhao¹,Yang Yong²^ORCID,Huang Shuying³^ORCID,Wan Weiguo⁴^ORCID,Sun Jiancheng⁴^ORCID,Tu Wei⁵^ORCID,Chen Changjie¹^ORCID

Affiliation:

1. School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China

2. School of Computer Science and Technology, Tiangong University, Tianjin, China

3. School of Software, Tiangong University, Tianjin, China

4. School of Software and Internet of Things Engineering, Jiangxi University of Finance and Economics, Nanchang, China

5. School of Mathematics and Computer Science, Jiangxi Science and Technology Normal University, Nanchang, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

Reference64 articles.

2. CBAM: Convolutional block attention module;woo;Proc Eur Conf Comput Vis,2018

4. Spatial transformer networks;jaderberg;Proc Adv Neural Inf Process Syst (NeurIPS),2015

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ESAFormer: Multi-resolution Fusion Network for Pansharpening;APSIPA Transactions on Signal and Information Processing;2024

2. Cross-Modality Interaction Network for Pan-Sharpening;IEEE Transactions on Geoscience and Remote Sensing;2024