Data Augmentation in Prototypical Networks for Forest Tree Species Classification Using Airborne Hyperspectral Images-Reference-Cited by-同舟云学术

Data Augmentation in Prototypical Networks for Forest Tree Species Classification Using Airborne Hyperspectral Images

Published:2022 Issue: Volume:60 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chen Long¹^ORCID,Wei Yuxin¹^ORCID,Yao Zongqi¹^ORCID,Chen Erxue²^ORCID,Zhang Xiaoli¹^ORCID

Affiliation:

1. Precision Forestry Key Laboratory of Beijing and the Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing, China

2. Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China

Funder

National Key Research and Development Program of China, Ministry of Science and Technology

Dragon 5 Cooperation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09758824.pdf?arnumber=9758824

Reference50 articles.

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5. Data Augmentation and Spectral Structure Features for Limited Samples Hyperspectral Classification

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