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Ship Detection by an Airborne Passive Interferometric Microwave Sensor (PIMS)
- Source :
- IEEE Transactions on Geoscience and Remote Sensing. 58:2682-2694
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- Ship detection is important for a wide range of applications. In this article, an airborne passive interferometric microwave sensor (PIMS) is proposed as a powerful complementary tool for ship detection. The fundamental of ship detection by the airborne PIMS is introduced. A specification called “the detection factor” is addressed to quantitatively assess the performance of the airborne PIMS for ship detection. The detection probability is discussed and addressed based on the constant false-alarm rate (CFAR). Numerical simulations are performed to demonstrate the feasibility of ship detection by the airborne PIMS. The impacts of the atmosphere and the sea wind on the performance of the airborne PIMS for ship detection are also addressed in terms of theoretical analyses and numerical simulations. The airborne experiments are also carried out by an X-band PIMS to verify the practicability of ship detection by the airborne PIMS in a sunny weather and a cloudy weather. The data processing procedure and a ship detection algorithm in the experiments are introduced. The airborne experimental results reveal that the ships can be effectively detected and tracked by the airborne X-band PIMS in a sunny weather and a cloudy weather. It demonstrates the practicability of ship detection by the airborne PIMS. The ship detection probability is also analyzed, which agrees well with the theoretical detection probability.
- Subjects :
- Data processing
animal diseases
Microwave sensor
technology, industry, and agriculture
0211 other engineering and technologies
food and beverages
02 engineering and technology
Constant false alarm rate
Interferometry
hemic and lymphatic diseases
Range (aeronautics)
General Earth and Planetary Sciences
Environmental science
Electrical and Electronic Engineering
021101 geological & geomatics engineering
Remote sensing
Subjects
Details
- ISSN :
- 15580644 and 01962892
- Volume :
- 58
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Geoscience and Remote Sensing
- Accession number :
- edsair.doi...........e2ceda79653256e21c26fcac41a8cbf8
- Full Text :
- https://doi.org/10.1109/tgrs.2019.2953355