Classification of the Complex Agricultural Planting Structure with a Semi-Supervised Extreme Learning Machine Framework
Many approaches have been developed to analyze remote sensing images. However, for the classification of large-scale problems, most algorithms showed low computational efficiency and low accuracy. In this paper, the newly developed semi-supervised extreme learning machine (SS-ELM) framework with k-m...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/22/3708 |