Multi-modal remote sensory learning for multi-objects over autonomous devices.

Journal: Frontiers in bioengineering and biotechnology
Published Date: May 20, 2025

Abstract

INTRODUCTION: There has been an increasing focus on object segmentation within remote sensing images in recent years due to advancements in remote sensing technology and the growing significance of these images in both military and civilian realms. In these situations, it is critical to accurately and quickly identify a wide variety of objects. In many computer vision applications, scene recognition in aerial-based remote sensing imagery presents a common issue.

Authors

  • Aysha Naseer
    Department of Computer Science, Air University, Islamabad, Pakistan.
  • Naif Almudawi
    Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
  • Hanan Aljuaid
    Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
  • Abdulwahab Alazeb
    School Department of Computer Science, College of Computer Science and Information System, Najran University, Najran, 55461, Saudi Arabia.
  • Yahay AlQahtani
    Department of Informatics and Computer Systems, King Khalid University, Abha, Saudi Arabia.
  • Asaad Algarni
    Department of Computer Sciences, Faculty of Computing and Information Technology, Northern Border University, Rafha, Saudi Arabia.
  • Ahmad Jalal
    Department of Computer Science, Air University, Islamabad 44000, Pakistan.
  • Hui Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.

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