Hyperspectral Image Classification Based on Interactive Transformer and CNN With Multilevel Feature Fusion Network-Reference-Cited by-同舟云学术

Hyperspectral Image Classification Based on Interactive Transformer and CNN With Multilevel Feature Fusion Network

Author:

Yang Hao¹,Yu Haoyang¹^ORCID,Zheng Ke²^ORCID,Hu Jiaochan³,Tao Tingting³,Zhang Qiang¹^ORCID

Affiliation:

1. Center of Hyperspectral Imaging in Remote Sensing (CHIRS), Information Science and Technology College, Dalian Maritime University, Dalian, China

2. College of Geography and Environment, Liaocheng University, Liaocheng, China

3. College of Environmental Sciences and Engineering, Dalian Maritime University, Dalian, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

Reference15 articles.

3. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput -Assist Intervent,2015

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