reviewIEEE Geoscience and Remote Sensing MagazineApr 13, 2022Closed access

Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities

LZLefei ZhangLZLiangpei Zhang

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing · Wuhan University · +2 more institutions

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Abstract

Artificial intelligence (AI) plays a growing role in remote sensing (RS). Applications of AI, particularly machine learning algorithms, range from initial image processing to high-level data understanding and knowledge discovery. AI techniques have emerged as a powerful strategy for analyzing RS data and led to remarkable breakthroughs in all RS fields. Given this period of breathtaking evolution, this work aims to provide a comprehensive review of the recent achievements of AI algorithms and applications in RS data analysis. The review includes more than 270 research papers, covering the following major aspects of AI innovation for RS: machine learning, computational intelligence, AI explicability, data…

Citation impact

555
total citations
FWCI
58.42
Percentile
100%
References
292
Citations per year

Authors

2

Topics & keywords

Topics
Keywords
  • Artificial intelligence
  • Computer science
  • Applications of artificial intelligence
  • Data science
  • Machine learning
  • Data processing
  • Database
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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