Journal
CHINESE JOURNAL OF AERONAUTICS
Volume 34, Issue 3, Pages 145-163Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.cja.2020.09.022
Keywords
Optical remote sensing; Satellite image; Sea target detection; Ship classification; Ship detection
Categories
Ask authors/readers for more resources
This article reviews ship detection and classification methods based on optical remote sensing images, analyzes feature extraction strategies and algorithms, summarizes publicly available datasets as benchmarks for verification, and provides insight into future development trends.
Considering the important applications in the military and the civilian domain, ship detection and classification based on optical remote sensing images raise considerable attention in the sea surface remote sensing filed. This article collects the methods of ship detection and classification for practically testing in optical remote sensing images, and provides their corresponding feature extraction strategies and statistical data. Basic feature extraction strategies and algorithms are analyzed associated with their performance and application in ship detection and classification. Furthermore, publicly available datasets that can be applied as the benchmarks to verify the effectiveness and the objectiveness of ship detection and classification methods are summarized in this paper. Based on the analysis, the remaining problems and future development trends are provided for ship detection and classification methods based on optical remote sensing images. ? 2020 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available