Deep Learning Estimation
Deep Learning Estimation is a computational methodology within remote sensing that employs deep neural networks to automatically learn hierarchical features from high-dimensional data for the purpose of accurately predicting leaf area index, distinguishing itself from traditional empirical or shallow machine learning approaches through its capacity for end-to-end feature extraction and nonlinear modeling.
390
Publications
17.9K
Citations
1.8K
Authors
700
Institutions
Publications per year
2017–2026
379
Parents
390
Deep Learning-Based Channel Estimation for Doubly Selective Fading Channels
Yuwen Yang, Feifei Gao, Xiaoli Ma et al. · IEEE Access · 2019 · 283 citations · Full text
1–5 of 390
1.8K
Institute of Environment and Sustainable Development in Agriculture, China
4 publications · 259 citations
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4
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3
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3
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3
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1–5 of 1.8K
700

Chinese Academy of Sciences
Beijing, China
13 h-index
53 publications
1.8K citations
The University of Tokyo
Tokyo, Japan
9 h-index
19 publications
877 citations

Zhejiang University
Hangzhou, China
9 h-index
29 publications
850 citations
University of Chinese Academy of Sciences
Beijing, China
7 h-index
18 publications
631 citations
China Agricultural University
Beijing, China
6 h-index
18 publications
1.3K citations
Chinese Academy of Agricultural Sciences
Beijing, China
6 h-index
14 publications
966 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
9 publications
274 citations

University of Tehran
Tehran, Iran
5 h-index
10 publications
354 citations
1–8 of 700
17 publications · 1K citations
15
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15 publications · 1.1K citations
14
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15 publications · 907 citations
14
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Repository · 11 publications · 358 citations
11
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9 publications · 545 citations
9
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