Hyperspectral Classification of Coastal Wetland Based on Multi-objective CNN and Decision Fusion Model-Reference-Cited by-同舟云学术

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Hyperspectral Classification of Coastal Wetland Based on Multi-objective CNN and Decision Fusion Model

Published:2023-07-30 Issue: Volume:28 Page:279-284
ISSN:
Container-title:2023 11th International Conference on Information Systems and Computing Technology (ISCTech)
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Author:

Hu Yabin¹,Yang Junfang²,Ren Guangbo¹,Ma Yi¹,Wang Jianbu¹,Zhu Xiaoheng³

Affiliation:

1. Ministry of Natural Resources,Lab of Marine Physics and Remote Sensing First Institute of Oceanography,Qingdao,China

2. China University of Petroleum,College of Oceanography and Space Informatics,Qingdao,China

3. ShanDong University of Science and Technology,College of Geodesy and Geomatics,Qingdao,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10438204/10438228/10438305.pdf?arnumber=10438305

Reference10 articles.

1. Carbon sequestration and its potential by wetland ecosystems in China;Duan;Acta Ecol. Sin,2008

2. Shallow water substrate mapping using hyperspectral remote sensing

3. Kernel low-rank representation with elastic net for China coastal wetland land cover classification using GF-5 hyperspectral imagery

4. Wetland Mapping Using HJ-1A/B Hyperspectral Images and an Adaptive Sparse Constrained Least Squares Linear Spectral Mixture Model

5. A convolution neural network model with adaptive learning rate and its application—A case study of remote sensing classification of coastal wetland;Chen;Marine Environmental Science,2019

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