An MLP Network Based on Residual Learning for Rice Hyperspectral Data Classification-Reference-Cited by-同舟云学术

An MLP Network Based on Residual Learning for Rice Hyperspectral Data Classification

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Tang Xiao-Jiang¹^ORCID,Liu Xin¹,Yan Peng-Fei¹,Li Bao-Xia¹,Qi Hao-Yu²,Huang Feng²^ORCID

Affiliation:

1. College of Information and Electrical Engineering, China Agricultural University, Beijing, China

2. College of Science, China Agricultural University, Beijing, China

Funder

Demonstration study on agricultural application of carbonrich and plasma technology in Suzhou

Demonstration study on agricultural application of carbonrich and plasma technology in Ezhou

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09703371.pdf?arnumber=9703371

Reference22 articles.

1. Sparse-Adaptive Hypergraph Discriminant Analysis for Hyperspectral Image Classification

2. Dimensionality reduction and classification of hyperspectral image via multi-structure unified discriminative embedding;luo;IEEE Trans Geosci Remote Sens,2021

3. Active Transfer Learning Network: A Unified Deep Joint Spectral–Spatial Feature Learning Model for Hyperspectral Image Classification

4. Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

5. Hyperspectral image classification with deep feature fusion network;shang;Proc Int Geosci Remote Sens Symp,2019

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