SSC-SFN: spectral-spatial non-local segment federated network for hyperspectral image classification with limited labeled samples-Reference-Cited by-同舟云学术

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SSC-SFN: spectral-spatial non-local segment federated network for hyperspectral image classification with limited labeled samples

Published:2024-01-09 Issue:1 Volume:17 Page:
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Gao Quanshan¹^ORCID,Wu Taixia¹²,Wang Shudong³

Affiliation:

1. School of Earth Sciences and Engineering, Hohai University, Nanjing, People’s Republic of China

2. Key Laboratory of Emergency Satellite Engineering and Application, Ministry of Emergency Management, Beijing, People’s Republic of China

3. Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, People’s Republic of China

Funder

Ministry of Emergency Management

Inner Mongolia Program

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2300319

Reference71 articles.

1. Evaluation of TRMM 3B42V7 and CHIRPS Satellite Precipitation Products as an Input for Hydrological Model over Eastern Nile Basin

2. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

3. Classification of polarimetric SAR images using compact convolutional neural networks

4. Improved Spatial-Spectral Superpixel Hyperspectral Unmixing

5. GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Multispectral Automated Transfer Technique (MATT) for machine-driven image labeling utilizing the Segment Anything Model (SAM);2024-06-18

2. Testing the suitability of v-Support Vector Machine for hyperspectral image classification;International Journal of Image and Data Fusion;2024-05-06

3. Advancing Hyperspectral Image Analysis with CTNet: An Approach with the Fusion of Spatial and Spectral Features;Sensors;2024-03-21

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