Edge Detection in UAV Remote Sensing Images Using the Method Integrating Zernike Moments with Clustering Algorithms
Joint Authors
Huang, Liang
Zuo, Xiaoqing
Yu, Xueqin
Source
International Journal of Aerospace Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-15
Country of Publication
Egypt
No. of Pages
7
Abstract EN
Due to the unmanned aerial vehicle remote sensing images (UAVRSI) within rich texture details of ground objects and obvious phenomenon, the same objects with different spectra, it is difficult to effectively acquire the edge information using traditional edge detection operator.
To solve this problem, an edge detection method of UAVRSI by combining Zernike moments with clustering algorithms is proposed in this study.
To begin with, two typical clustering algorithms, namely, fuzzy c -means (FCM) and K -means algorithms, are used to cluster the original remote sensing images so as to form homogeneous regions in ground objects.
Then, Zernike moments are applied to carry out edge detection on the remote sensing images clustered.
Finally, visual comparison and sensitivity methods are adopted to evaluate the accuracy of the edge information detected.
Afterwards, two groups of experimental data are selected to verify the proposed method.
Results show that the proposed method effectively improves the accuracy of edge information extracted from remote sensing images.
American Psychological Association (APA)
Huang, Liang& Yu, Xueqin& Zuo, Xiaoqing. 2017. Edge Detection in UAV Remote Sensing Images Using the Method Integrating Zernike Moments with Clustering Algorithms. International Journal of Aerospace Engineering،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1157849
Modern Language Association (MLA)
Huang, Liang…[et al.]. Edge Detection in UAV Remote Sensing Images Using the Method Integrating Zernike Moments with Clustering Algorithms. International Journal of Aerospace Engineering No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1157849
American Medical Association (AMA)
Huang, Liang& Yu, Xueqin& Zuo, Xiaoqing. Edge Detection in UAV Remote Sensing Images Using the Method Integrating Zernike Moments with Clustering Algorithms. International Journal of Aerospace Engineering. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1157849
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1157849