Analysis of research progress on UAV visible light remote sensing based on CiteSpace

Xiandan Du; Zhongfa Zhou; Denghong Huang; Fuxianmei Zhang; Shuanglong Du; Fei Dong

doi:10.1117/12.3040454

13 September 2024 Analysis of research progress on UAV visible light remote sensing based on CiteSpace

Xiandan Du, Zhongfa Zhou, Denghong Huang, Fuxianmei Zhang, Shuanglong Du, Fei Dong

Proceedings Volume 13254, Fourth International Conference on Optics and Image Processing (ICOIP 2024); 132540W (2024) https://doi.org/10.1117/12.3040454
Event: Fourth International Conference on Optics and Image Processing (ICOIP 2024), 2024, Chongqing, China

Abstract

The application of visible light remote sensing technology in unmanned aerial vehicles (UAVs) has become extensively utilized across a variety of sectors. However, the research on its development and hotspot is very limited. Based on the literature of visible remote sensing of UAVs collected in Web of Science (WOS) database from 1998 to 2022, the literature knowledge map was drawn by visualization analysis software CiteSpace to reveal the research progress and trend in this field. The results show that: (1) The research has cross-application in multiple fields and multi-source data fusion, which main focus is on expanding research perspectives, objects and methods; (2) Research topics mainly focus on monitoring, photogrammetry and agriculture; (3) UAV image, model building and application, vegetation index, classification, etc., are research hotspots, and the main research directions in the future are machine learning, point cloud, virtual reality, etc. The results can provide reference for researchers to carry out further research in this field.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiandan Du, Zhongfa Zhou, Denghong Huang, Fuxianmei Zhang, Shuanglong Du, and Fei Dong "Analysis of research progress on UAV visible light remote sensing based on CiteSpace ", Proc. SPIE 13254, Fourth International Conference on Optics and Image Processing (ICOIP 2024), 132540W (13 September 2024); https://doi.org/10.1117/12.3040454

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KEYWORDS

Remote sensing

Unmanned aerial vehicles

Visible radiation

Analytical research

Agriculture

Data modeling

Photogrammetry

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