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

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.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1117/12.3040454
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
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Analysis of research progress on UAV visible light remote sensing based on CiteSpace

Denghong Huang, Zhongfa Zhou, Shuanglong Du, Xiandan Du et al.
Remote Sensing and Land Use
article

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

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

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.

Guizhou Normal University (CN)
Openalex Percentile: Top 81%
Remote Sensing and Land Use
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Analysis of research progress on UAV visible light remote sensing based on CiteSpace — Denghong Huang, Zhongfa Zhou, et al. · (2024) | TGRS Research Map | TGRS