An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing

Yang Zhang; Ruohan Zong; Lanyu Shang; Ziyi Kou; Dong Wang

doi:10.1016/j.knosys.2022.108997

An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing

Yang Zhang
, Ruohan Zong
, Lanyu Shang
, Ziyi Kou
, Dong Wang

Computer Science

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	108997
Number of pages	12
Journal	Knowledge-Based Systems
Volume	249
DOIs	https://doi.org/10.1016/j.knosys.2022.108997
State	Published - Aug 5 2022

Keywords

Active one-shot learning
Smart urban sensing
Sparse data
Urban land usage recognition

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10.1016/j.knosys.2022.108997

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title = "An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing",

keywords = "Active one-shot learning, Smart urban sensing, Sparse data, Urban land usage recognition",

author = "Yang Zhang and Ruohan Zong and Lanyu Shang and Ziyi Kou and Dong Wang",

year = "2022",

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doi = "10.1016/j.knosys.2022.108997",

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journal = "Knowledge-Based Systems",

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AU - Zhang, Yang

AU - Zong, Ruohan

AU - Shang, Lanyu

AU - Kou, Ziyi

AU - Wang, Dong

PY - 2022/8/5

Y1 - 2022/8/5

KW - Active one-shot learning

KW - Smart urban sensing

KW - Sparse data

KW - Urban land usage recognition

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DO - 10.1016/j.knosys.2022.108997

M3 - Article

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VL - 249

JO - Knowledge-Based Systems

JF - Knowledge-Based Systems

M1 - 108997

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An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing

Keywords

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