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Automatic Extraction of Offshore Platforms in Single SAR Images Based on a Dual-Step-Modified Model
- Source :
- Sensors, Vol 19, Iss 2, p 231 (2019), Sensors, Volume 19, Issue 2, Sensors (Basel, Switzerland)
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- The quantity and location of offshore platforms are of great significance for marine oil spill monitoring and offshore oil-gas development. In the past, multiphase medium- and low-resolution optical or radar images have been used to remove the interference of ship targets based on the static position of a platform to extract the offshore platform, resulting in large demands and high image data costs. According to the difference in shape between offshore platforms (not elongated) and ships (elongated shapes) in SAR (synthetic aperture radar) images, this paper proposes an automatic extraction method for offshore platforms in single SAR images based on a dual-step-modified model. First, the two-parameter CFAR (constant false alarm rate) algorithm was used to detect the possible offshore platform targets<br />then, the Hough transform was introduced to detect and eliminate ship targets with linear structures. Finally, the final offshore platform was obtained. Experiments were carried out in four study areas in the Beibu Gulf basin and the Pearl River estuary basin in the northern South China Sea. The results show that the method has a good extraction effect in the above research area, and the extraction accuracy rate of offshore platforms is 86.75%. A single SAR image can obtain satisfactory extraction results, which greatly saves on image data cost.
- Subjects :
- Synthetic aperture radar
two-parameter CFAR detection
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
Interference (wave propagation)
lcsh:Chemical technology
01 natural sciences
Biochemistry
Article
Analytical Chemistry
Hough transform
law.invention
Constant false alarm rate
law
Radar imaging
0202 electrical engineering, electronic engineering, information engineering
Extraction (military)
lcsh:TP1-1185
Electrical and Electronic Engineering
single SAR image
Instrumentation
computer.programming_language
Remote sensing
010401 analytical chemistry
020206 networking & telecommunications
offshore platform
Atomic and Molecular Physics, and Optics
0104 chemical sciences
PEARL (programming language)
Submarine pipeline
computer
dual-step-modified model
Geology
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 19
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....9c484c84263336ad5d2a49d4655f7596