Sparse Training Data-Based Hyperspectral Image Super Resolution Via ANFIS Interpolation-Reference-Cited by-同舟云学术

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Sparse Training Data-Based Hyperspectral Image Super Resolution Via ANFIS Interpolation

Published:2023-08-13 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Fuzzy Systems (FUZZ)
language:
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Author:

Yang Jing¹,Shang Changjing²,Chen Lu³,Su Pan⁴,Shen Qiang²

Affiliation:

1. School of Automation and Software Engineering, Shanxi University,Taiyuan,China

2. Aberystwyth University,Department of Computer Science,Aberystwyth,UK

3. Shanxi University,Insti. of Big Data Science & Industry,Taiyuan,China

4. North China Electric Power University,Hebei Key Laboratory of Knowledge Computing for Energy & Power Baoding,Department of Computer,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10309665/10309668/10309750.pdf?arnumber=10309750

Reference21 articles.

1. Constructing ANFIS with Sparse Data through Group-Based Rule Interpolation: An Evolutionary Approach

2. ANFIS Construction With Sparse Data via Group Rule Interpolation

3. Cubic convolution interpolation for digital image processing;keys;IEEE Transactions on Acoustics Speech and Signal Processing,1981

4. ANFIS: adaptive-network-based fuzzy inference system

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