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Currently, data from various satellite systems are used in Azerbaijan. Therefore, the growing demand for satellite data can only be utilized by intelligent, real-time processing systems. Based on the models developed in this study, the possibilities of intelligent processing aerospace data in real-time studied. In this paper, the proposed intelligent system architecture is trained under sample conditions on an artificially enlarged remote sensing dataset and is adapted to recognize vegetation cover categories.

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Intelligent System for Real-Time Processing of High Resolution Aerospace Data

  • 会议论文

  • 发表日期：

    2025年

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  • Sevda R. Ibrahimova,
  • Adila B. Zeynalova,
  • Sevinj S. Babayeva,
  • Sadagat I. Hasanova,
  • Gulshan R. Aliyeva

摘要

Currently, data from various satellite systems are used in Azerbaijan. Therefore, the growing demand for satellite data can only be utilized by intelligent, real-time processing systems. Based on the models developed in this study, the possibilities of intelligent processing aerospace data in real-time studied. In this paper, the proposed intelligent system architecture is trained under sample conditions on an artificially enlarged remote sensing dataset and is adapted to recognize vegetation cover categories.