Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

SAR image oil spill detection method based on image significance analysis

A detection method and image technology, applied in the field of remote sensing images and image processing, to achieve high recall and accuracy, and high detection efficiency

Pending Publication Date: 2020-10-30
国家海洋局北海预报中心 +1
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0015] In view of the shortcomings of the level set method that requires manual initialization, the neural network method needs to provide manually calibrated samples in advance, and needs to be trained to generate a recognition model, how to design a higher-precision oil spill area extraction method based on the salient image is an important research direction

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
  • SAR image oil spill detection method based on image significance analysis
  • SAR image oil spill detection method based on image significance analysis
  • SAR image oil spill detection method based on image significance analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0075] Embodiment 1 A kind of SAR image oil spill area detection method, SAR image such as figure 1 shown, including:

[0076] Step 1) Get the saliency image:

[0077] 1.1) Convert the original image from RGB space to Lab space;

[0078] First, convert the RGB color space of the original image I into XYZ space with the help of formula (1), and then use formula (2) to convert the XYZ space into Lab space, and obtain the Lab space image I corresponding to the original image Lab ;

[0079]

[0080]

[0081] in,

[0082] 1.2) Gaussian filtering is performed on the Lab space image;

[0083] Image I for Lab space Lab The three components of I L , I a and I b All are filtered with a 3×3 Gaussian convolution kernel to obtain the filtered image I GLab ;

[0084] Among them, the 3×3 Gaussian convolution kernel is

[0085] 1.3) Take the mean value LM, AM and BM of the converted image L, a, and the images of the three channels of b respectively; and calculate the Eucl...

Embodiment 2

[0116] Embodiment 2 A kind of SAR image oil spill area detection method, SAR image such as Figure 4 shown, including:

[0117] Step 1) Get the saliency image:

[0118] 1.1) Convert the original image from RGB space to Lab space;

[0119] First, convert the RGB color space of the original image I into XYZ space with the help of formula (1), and then use formula (2) to convert the XYZ space into Lab space, and obtain the Lab space image I corresponding to the original image Lab ;

[0120]

[0121]

[0122] in,

[0123] 1.2) Gaussian filtering is performed on the Lab space image;

[0124] Image I for Lab space Lab The three components of I L , I a and I b All are filtered with a 3×3 Gaussian convolution kernel to obtain the filtered image I GLab ;

[0125] Among them, the 3×3 Gaussian convolution kernel is

[0126] 1.3) Take the mean value LM, AM and BM of the converted image L, a, and the images of the three channels of b respectively; and calculate the Euc...

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 an oil spill area detection method without human interaction. According to the scheme, SAR image oil spill area detection is carried out based on image significance analysis and an adaptive iterative threshold method. In the scheme, an image saliency detection method is introduced into SAR oil spill detection, and then accurate extraction of an oil spill area is realized byusing the size relationship between an adaptive iterative threshold and saliency.

Description

technical field [0001] The invention relates to the technical fields of image processing and remote sensing images, and in particular, the invention relates to a SAR image oil spill detection method based on image saliency analysis. Background technique [0002] In today's society, oil is still a very important resource. With the increasing scarcity of land resources and the rapid growth of human demand for energy, the offshore oil industry and offshore oil transportation are booming. Oil spill at sea refers to the loss of oil in different degrees during the offshore mining or transportation process, mainly including oil well oil leakage caused in the offshore oil exploration and development process, leakage in near-shore oil pipelines or oil tanker loading and unloading, ship collision Crude oil spills caused by accidents such as , overturning, and grounding, and even oil spills caused by natural disasters. These accidents have polluted the marine ecological environment t...

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
IPC IPC(8): G06K9/46G06T5/00G06T5/20G06T7/00G06T7/11G06T7/136G06T7/194G06T7/90
CPCG06T7/11G06T7/136G06T7/90G06T7/194G06T5/20G06T7/0004G06V10/462G06T5/94
Inventor 靳熙芳万剑华吕新荣任鹏宋彦江伟伟钟山葛磊
Owner 国家海洋局北海预报中心
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com