A Sea Surface Oil Spill Detection Method Based on Full Polarization Synthetic Aperture Radar Images

A technology of aperture radar and sea oil spill, which is applied in measuring devices, radio wave measurement systems, radio wave reflection/reradiation, etc., can solve the problems of complex algorithms, difficulty in distinguishing likelihood objects, long processing time, etc., and achieve high The effect of detecting performance, improving efficiency, and reducing false alarm rate

Active Publication Date: 2018-01-02
NANJING UNIV OF INFORMATION SCI & TECH
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] At present, it is difficult to distinguish the likelihood of the presence of sea surface oil spills by using synthetic aperture radar (SAR) satellite images, and the technical problems such as complex algorithms require long processing time, etc. Oil detection method to improve the performance of sea oil spill detection and classification methods, and facilitate the application of full polarization SAR in practical engineering problems such as sea oil spill monitoring

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Sea Surface Oil Spill Detection Method Based on Full Polarization Synthetic Aperture Radar Images
  • A Sea Surface Oil Spill Detection Method Based on Full Polarization Synthetic Aperture Radar Images
  • A Sea Surface Oil Spill Detection Method Based on Full Polarization Synthetic Aperture Radar Images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The present invention proposes a method for rapidly processing remote sensing images using synthetic aperture radar to monitor sea surface oil spills. Taking the SIR-C image acquired in NASA space shuttle radar experiments as an example, the effectiveness of the method is verified in combination with actual data.

[0057] The specific processing steps are as follows:

[0058] 1. Data acquisition and preprocessing

[0059] Obtain the polarimetric SAR data that needs to be processed from the fully polarimetric SAR image, perform preprocessing such as format conversion and calibration on the polarimetric SAR data that need to be processed (if necessary), and obtain the fully polarimetric SAR covariance matrix (C ). If the complex polarization scattering matrix (S) is obtained, it is transformed into a covariance matrix by the following method:

[0060]

[0061] The subscripts i and j represent the polarization modes of transmission and reception respectively, h is hor...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a sea surface oil spill detection method based on a full-polarization synthetic aperture radar (SAR) image, comprising the following steps: preprocessing the polarized SAR data to be analyzed to obtain a full-polarization SAR covariance matrix; The covariance matrix performs refined polarization Lee filtering; based on the filtered covariance matrix or the Stokes vector calculated by it, six polarization features are extracted to form a feature combination; the training sample features with ground verification label information are input to a maximum Likelihood classifier, train the classifier and optimize its parameters; use the polarization feature as input, use the maximum likelihood classifier to detect and classify the oil film; process the classification results based on morphology, and use the actual measurement verification information to assess classification accuracy. The invention can improve the performance of the sea surface oil spill detection and classification method, and promote the application of full polarization SAR in actual engineering problems such as sea surface oil spill monitoring.

Description

technical field [0001] The invention belongs to the technical field of marine remote sensing, in particular to a radar satellite remote sensing method for monitoring sea surface oil spills. Background technique [0002] Marine oil spill is one of the most common marine pollutions, which damages the marine environment and ecosystem and threatens the growth of marine life. Oil spill accidents will cause huge economic losses to the fishery and mariculture industry, and even endanger human health through the transmission of the food chain. Timely and accurate sea oil spill monitoring and early warning can enable the accident to be dealt with early before the impact expands, effectively reducing the negative impact of the accident. Effective oil spill monitoring methods can provide a basis for investigating the responsibilities of ships and enterprises involved in accidents, thereby providing support for maintaining the healthy and sustainable development of coastal zones and ma...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/90G06K9/62
CPCG01S13/90G06F18/214G01S13/9076
Inventor 张渊智李煜何宜军
Owner NANJING UNIV OF INFORMATION SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap