Hierarchical ship detection method for space‐borne SAR image

Autor: Linbo Tang, Baojun Zhao, Jinghong Nan, Wei Tang
Rok vydání: 2019
Předmět:
Synthetic aperture radar
Maximally stable extremal regions
ship candidates
Computer science
Feature extraction
0211 other engineering and technologies
Energy Engineering and Power Technology
ship sizes
02 engineering and technology
Radar imaging
0202 electrical engineering
electronic engineering
information engineering
higher detection accuracy
edge-enhanced maximally stable extremal regions
image representation
021101 geological & geomatics engineering
Contextual image classification
business.industry
feature extraction
General Engineering
object detection
numerous space-borne sar images
Pattern recognition
ship targets
Object detection
radar imaging
simple shape analysis
lcsh:TA1-2040
Clutter
learning (artificial intelligence)
020201 artificial intelligence & image processing
Artificial intelligence
False alarm
space-borne sar image
lcsh:Engineering (General). Civil engineering (General)
business
ships
novel hierarchical ship detection framework
hierarchical ship detection method
Software
image classification
synthetic aperture radar
Zdroj: The Journal of Engineering (2019)
ISSN: 2051-3305
DOI: 10.1049/joe.2019.0424
Popis: Ship detection from space-borne SAR image is a challenging task. The main challenges in this task include the disturbance of sea clutter, island, coastline, and variability in ship sizes. Here, the authors propose a novel hierarchical ship detection framework to overcome the above challenges. Initially, the edge-enhanced maximally stable extremal regions (E-MSER) is employed as ship candidates. Then, through some simple shape analysis, they can eliminate the obvious false alarms which are not conformed to the shape feature of ship. Finally, candidates are represented by an effective multiple features learning framework for discriminating true ship targets. Experimental results on numerous space-borne SAR images demonstrate their proposed scheme that outperforms other traditional methods with higher detection accuracy and lower false alarm.
Databáze: OpenAIRE
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