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Robust and Automatic Skyline Detection Algorithm Based on MSSDN.
- Source :
-
Journal of Advanced Computational Intelligence & Intelligent Informatics . Nov2020, Vol. 24 Issue 6, p750-762. 13p. - Publication Year :
- 2020
-
Abstract
- Automatic detection of the skyline plays an important role in several applications, such as visual geo-localization, flight control, port security, and mountain peak recognition. Existing skyline detection methods are mostly used under common weather conditions; however, they do not consider bad weather situations, such as rain, which limits their application in real scenes. In this paper, we propose a multi-stream-stage DenseNet to detect skyline automatically under different weather conditions. This model fully considers the adverse factors influencing the skyline and outputs a probability graph of the skyline. Finally, a dynamic programming algorithm is implemented to detect the skyline in images accurately. A comparison with the existing state-of-the-art methods proves that the proposed model shows a good performance under rainy or common weather conditions and exhibits the best detection precision for the public database. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13430130
- Volume :
- 24
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Journal of Advanced Computational Intelligence & Intelligent Informatics
- Publication Type :
- Academic Journal
- Accession number :
- 147111307
- Full Text :
- https://doi.org/10.20965/jaciii.2020.p0750