Injecting spectral indices to transferable convolutional neural network under imbalanced and noisy labels for Landsat image classification-Reference-Cited by-同舟云学术

Injecting spectral indices to transferable convolutional neural network under imbalanced and noisy labels for Landsat image classification

Published:2022-02-22 Issue:1 Volume:15 Page:437-462
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Zhao Xuemei¹,Wu Jun¹,Wang Haijian²^ORCID,Gao Xingyu²,Zhao Longlong³

Affiliation:

1. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guangxi, People's Republic of China

2. Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology, School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guangxi, People's Republic of China

3. Center for Geospatial Information, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Beijing, People's Republic of China

Funder

National Natural Science Foundation of China

Ningbo Science and Technology Innovation Project

Natural Science Foundation of Guangxi Province

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2022.2036833

Reference41 articles.

1. Integrating multiple texture methods and NDVI to the Random Forest classification algorithm to detect tea and hazelnut plantation areas in northeast Turkey

2. Akilan, T., Q. M. Jonathan Wu, A. Safaei, and Wei Jiang. 2017. “A Late Fusion Approach for Harnessing Multi-CNN Model High-Level Features.” In 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 566–571.

3. Image Classification Based on Mid-Level Feature Fusion

4. Addressing class imbalance in deep learning for small lesion detection on medical images

5. Global land cover mapping at 30m resolution: A POK-based operational approach

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