Multi-branch fusion network for hyperspectral image classification

Author:

Gao Hongmin,Yang Yao,Lei Sheng,Li Chenming,Zhou Hui,Qu Xiaoyu

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities, China

Young Elite Scientists Sponsorship Program by CAST, China

National Science Foundation for Young Scientists of China

Projects in the National Science & Technology Pillar Program during the Twelfth Five-year Plan Period, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference35 articles.

1. Why use hyperspectral imagery?;Shippert;Photogramm. Eng. Remote Sens.,2004

2. Multidisciplinary Application of Hyperspectral Remote Sensing;Tong,2006

3. Seasonal variation of leaf chlorophyll content of a temperate forest. Inversion of the PROSPECT model;Demarez;Int. J. Remote Sens.,1999

4. Generation of spectral–temporal response surfaces by combining multispectral satellite and hyperspectral UAV imagery for precision agriculture applications;Gevaert;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2015

5. A short survey of hyperspectral remote sensing applications in agriculture;Teke,2013

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