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Ship detection and classification from optical remote sensing images: A survey
- Source :
- Chinese Journal of Aeronautics, Vol 34, Iss 3, Pp 145-163 (2021)
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- 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.
- Subjects :
- 0209 industrial biotechnology
Satellite image
Sea target detection
Computer science
Mechanical Engineering
Feature extraction
Aerospace Engineering
TL1-4050
02 engineering and technology
01 natural sciences
010305 fluids & plasmas
Domain (software engineering)
020901 industrial engineering & automation
Remote sensing (archaeology)
0103 physical sciences
Optical remote sensing
Ship classification
Classification methods
Ship detection
Remote sensing
Motor vehicles. Aeronautics. Astronautics
Subjects
Details
- Language :
- English
- ISSN :
- 10009361
- Volume :
- 34
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Chinese Journal of Aeronautics
- Accession number :
- edsair.doi.dedup.....715b32698d3385e846d65c46403c7a06