A large scale training sample database system for intelligent interpretation of remote sensing imagery

A large scale training sample database system for intelligent interpretation of remote sensing imagery

Artificial Intelligence (AI) Machine Learning (ML) technologies, particularly Deep Learning (DL), have demonstrated significant potential in the interpretation of Remote Sensing (RS) imagery, covering tasks such as scene classification, object detection, land-cover/land-use classification, change de...

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Bibliographic Details
Main Authors: Zhipeng Cao, Liangcun Jiang, Peng Yue, Jianya Gong, Xiangyun Hu, Shuaiqi Liu, Haofeng Tan, Chang Liu, Boyi Shangguan, Dayu Yu
Format: Article
Language:English
Published: Taylor & Francis Group 2024-09-01
Series:Geo-spatial Information Science
Subjects:
Remote Sensing (RS)
image interpretation
Deep Learning (DL)
Artificial Intelligence (AI)
training sample
database
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2023.2244005

Internet

https://www.tandfonline.com/doi/10.1080/10095020.2023.2244005

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