基于文献计量的高光谱成像技术的发展趋势分析

中国民航大学学报 ›› 2025, Vol. 43 ›› Issue (6): 1-8.

• 综述 • 下一篇

基于文献计量的高光谱成像技术的发展趋势分析

1. 中国民航大学 a. 科技创新研究院； b. 安全科学与工程学院； c. 交通科学与工程学院，天津 300300；

2.首都国际机场股份有限公司，北京 101304

收稿日期:2024-10-18 修回日期:2025-02-28 出版日期:2025-12-20 发布日期:2026-01-10
作者简介:陈达（1979— ），男，浙江苍南人，教授，博士，研究方向为民航绿色发展.
基金资助:
中央高校基本科研业务费专项（3122023QD17）

Analysis of the development trends of hyperspectral imaging technology based on

bibliometrics

1a. Research Institute of Science and Technology Innovation; 1b. College of Safety Science and Engineering; 1c. College of

Transportation Science and Engineering, CAUC, Tianjin 300300, China; 2. Capital International Airport Co., Ltd., Beijing 101304, China

Received:2024-10-18 Revised:2025-02-28 Online:2025-12-20 Published:2026-01-10

1. 基于文献计量的高光谱成像技术的发展趋势分析.pdf(18460KB)

摘要/Abstract

摘要：

为了解高光谱成像技术与高光谱遥感领域近 20 年国内外的研究情况，本文采用文献计量可视化软

件 VOSviewer，对 2003—2022 年 Web of Science（WoS）数据库以及 CNKI 数据库中关于高光谱成像技术的

研究论文进行了定量分析。分析结果表明：CNKI 数据库中关于高光谱成像技术的论文数量增长较为缓

慢；近 5 年，WoS 数据库中中国学者在高光谱成像技术领域的发文量排在首位并且与多国紧密合作。分析

2 个数据库中检索出的相关文献的关键词，发现高光谱成像技术中数据分析与图像处理是当前的研究热

点，各国专家学者将深度学习方法应用在该领域中。随着技术手段的进步，高光谱的数据分析以及图像处

理更加需要多学科的交叉融合来面对日益增长的数据处理需求。

关键词:

高光谱, 文献计量, 发展趋势, VOSviewer

Abstract:

To understand the research situation of hyperspectral imaging technology and hyperspectral remote sensing in

the past 20 years at home and abroad, this article adopts the bibliometric visualization software VOSviewer to

quantitatively analyze the research papers of hyperspectral imaging technology in the Web of Science (WoS)

database and CNKI database from 2003 to 2022. The results indicate that the number of papers related to hyperspectral imaging technology in the CNKI database has grown relatively slowly. In the past five years, Chinese

scholars have ranked first in the number of publications in the field of hyperspectral imaging technology and

have closely cooperated with researchers from multiple countries in the WoS database. The keyword analysis of

the relevant literature retrieved from the two databases shows that data analysis and image processing in hyperspectral imaging technology are the current research hotspots, and experts and scholars from various countries

have applied deep learning methods in this field. With the progress of technical means, hyperspectral data

analysis and image processing need more cross-integration of multiple disciplines to face the increasing demand for data processing.

Key words:

hyperspectral, bibliometrics, development trends, VOSviewer

中图分类号:

TH744

陈达 a, 纪思博 b, 陈颖, 朱麟, 郭祥 a, 裴琳琳 c.

基于文献计量的高光谱成像技术的发展趋势分析

[J]. 中国民航大学学报, 2025, 43(6): 1-8.

CHEN Daa , JI Sibob , CHEN Ying , ZHU Lin , GUO Xianga , PEI Linlinc.

Analysis of the development trends of hyperspectral imaging technology based on

bibliometrics

[J]. Journal of Civil Aviation University of China, 2025, 43(6): 1-8.

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基于文献计量的高光谱成像技术的发展趋势分析

Analysis of the development trends of hyperspectral imaging technology based on

bibliometrics

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