Hierarchical Sea-Land Segmentation for Panchromatic Remote Sensing Imagery
Joint Authors
Qadeer, Nouman
Ma, Long
Shen, Jinjing
Chen, Liang
Mai, Zhihong
Wang, Guanqun
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Automatic sea-land segmentation is an essential and challenging field for the practical use of panchromatic satellite imagery.
Owing to the temporal variations as well as the complex and inconsistent intensity contrast in both land and sea areas, it is difficult to generate an accurate segmentation result by using the conventional thresholding methods.
Additionally, the freely available digital elevation model (DEM) also difficultly meets the requirements of high-resolution data for practical usage, because of the low precision and high memory storage costs for the processing systems.
In this case, we proposed a fully automatic sea-land segmentation approach for practical use with a hierarchical coarse-to-fine procedure.
We compared our method with other state-of-the-art methods with real images under complex backgrounds and conducted quantitative comparisons.
The experimental results show that our method outperforms all other methods and proved being computationally efficient.
American Psychological Association (APA)
Ma, Long& Qadeer, Nouman& Shen, Jinjing& Chen, Liang& Mai, Zhihong& Wang, Guanqun. 2017. Hierarchical Sea-Land Segmentation for Panchromatic Remote Sensing Imagery. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1190488
Modern Language Association (MLA)
Ma, Long…[et al.]. Hierarchical Sea-Land Segmentation for Panchromatic Remote Sensing Imagery. Mathematical Problems in Engineering No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1190488
American Medical Association (AMA)
Ma, Long& Qadeer, Nouman& Shen, Jinjing& Chen, Liang& Mai, Zhihong& Wang, Guanqun. Hierarchical Sea-Land Segmentation for Panchromatic Remote Sensing Imagery. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1190488
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190488