Knowledge mapping and trends in research on remote sensing change detection using CiteSpace analysis

• Published in: Earth science informatics 2023-03, Vol.16 (1), p.787-801
• Main Authors: Yu, Yuanhe, Shen, Yuzhen, Liu, Yaoyao, Wei, Yuchun, Rui, Xudong, Li, Bingbing
• Format: Article
• Language: English
• Subjects: Earth and Environmental Science; Earth Sciences; Earth System Sciences; Information Systems Applications (incl.Internet); Ontology; Simulation and Modeling; Space Exploration and Astronautics; Space Sciences (including Extraterrestrial Physics
• ISSN: 1865-0473; 1865-0481
• DOI: 10.1007/s12145-022-00914-4

Detection of change through remote sensing (RS) is widely used in Earth observation and environment surveys, whereas the introduction of bibliometric methods to the development, application, and identification of trends in RS change detection (RSCD) remain limited. Based on the 5,012 published academic studies in the Web of Science Core Collection (WOSCC) database between 2000 and 2022, and CiteSpace software, the publications built the RSCD knowledge mapping about cooperation network, literature co-citation, keyword co-occurrence, and burst detection analyses. The result shown that: (1) There has been a significant increasing trend in RSCD-related literature over the last two decades. Among these, Remote Sensing and IEEE journals had the highest number of publications. (2) China, the United States, and Italy, are the top three in the number of publications, mainly by various universities and research institutes. Bruzzone Lorenzo, Gong Maoguo, Bovolo Francesca, and other authors have made important contributions. (3) Among highly cited literature, the “changed object” was the first focus of CD research, and 17 research clusters were identified, including semantic, terrain correction, land cover, synthetic aperture radar, and the unsupervised. (4) Main research topics included CD models, unsupervised CD algorithms, and land cover classification. Research hots included deep learning, misregistration, image segmentation, and Google Earth Engine. This study provided the multidimensional references for researchers, practitioners, and institutions in the current trends, topics, and hots of RSCD.