Change Detection in Multitemporal High Spatial Resolution Remote-Sensing Images Based on Saliency Detection and Spatial Intuitionistic Fuzzy C-Means Clustering
Joint Authors
Huang, Liang
Peng, Qiuzhi
Yu, Xueqin
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-23
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In order to improve the change detection accuracy of multitemporal high spatial resolution remote-sensing (HSRRS) images, a change detection method of multitemporal remote-sensing images based on saliency detection and spatial intuitionistic fuzzy C-means (SIFCM) clustering is proposed.
Firstly, the cluster-based saliency cue method is used to obtain the saliency maps of two temporal remote-sensing images; then, the saliency difference is obtained by subtracting the saliency maps of two temporal remote-sensing images; finally, the SIFCM clustering algorithm is used to classify the saliency difference image to obtain the change regions and unchange regions.
Two data sets of multitemporal high spatial resolution remote-sensing images are selected as the experimental data.
The detection accuracy of the proposed method is 96.17% and 97.89%.
The results show that the proposed method is a feasible and better performance multitemporal remote-sensing image change detection method.
American Psychological Association (APA)
Huang, Liang& Peng, Qiuzhi& Yu, Xueqin. 2020. Change Detection in Multitemporal High Spatial Resolution Remote-Sensing Images Based on Saliency Detection and Spatial Intuitionistic Fuzzy C-Means Clustering. Journal of Spectroscopy،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1190791
Modern Language Association (MLA)
Huang, Liang…[et al.]. Change Detection in Multitemporal High Spatial Resolution Remote-Sensing Images Based on Saliency Detection and Spatial Intuitionistic Fuzzy C-Means Clustering. Journal of Spectroscopy No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1190791
American Medical Association (AMA)
Huang, Liang& Peng, Qiuzhi& Yu, Xueqin. Change Detection in Multitemporal High Spatial Resolution Remote-Sensing Images Based on Saliency Detection and Spatial Intuitionistic Fuzzy C-Means Clustering. Journal of Spectroscopy. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1190791
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190791