Marine oil spill information identification and extraction method based on SAR image

A technology of information identification and extraction method, applied in the field of image processing, which can solve problems such as high false alarm rate

Inactive Publication Date: 2016-10-12
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

For example, areas with low wind speed on the sea surface, leeward areas, shallow sea areas, bio-oil films formed by marine biological activities, and ocean internal wave areas have similar microwave scattering

Method used

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  • Marine oil spill information identification and extraction method based on SAR image
  • Marine oil spill information identification and extraction method based on SAR image
  • Marine oil spill information identification and extraction method based on SAR image

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Embodiment

[0058] figure 1 It is a flow chart of the method for identifying and extracting marine oil spill information based on SAR images in the present invention.

[0059] In this example, if figure 1 As shown, the present invention proposes a method for identifying and extracting marine oil spill information based on SAR images, comprising the following steps:

[0060] S1. Obtain the original SAR image

[0061] Through the spaceborne SAR sensor, the original SAR image is obtained in the area to be monitored; in this embodiment, the high-resolution original SAR image obtained by the high-resolution commercial satellite RADARSAT-2 equipped with a C-band SAR sensor, such as figure 2 shown.

[0062] S2, image preprocessing

[0063] Using NEST software, the original SAR image is sequentially subjected to radiometric calibration, geocoding, and enhanced Lee filtering to obtain the initial SAR image.

[0064] S3. Perform universal processing on the initial SAR image

[0065] S3.1. Se...

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Abstract

The invention discloses a marine oil spill information identification and extraction method based on an SAR image. Noise and distortion of a spaceborne SAR image are eliminated through preprocessing. The universal processing is performed on the image for covering non-sea-surface areas. Then the image is divided by means of a two-dimensional maximum between-class variance method for obtaining an interested area. Based on the divided image, the mis-divided image is corrected by means of morphological filtering. Furthermore a selected characteristic parameter is extracted from an image dividing area. Finally according to priori knowledge, an image dividing result is classified by means of a similarly processed sample image set trained BP neural network, thereby differentiating sea surface oil spill and suspected oil spill and accurately extracting marine oil spill information.

Description

technical field [0001] The invention belongs to the technical field of image processing, and more specifically relates to a method for identifying and extracting marine oil spill information based on SAR images. Background technique [0002] With the gradual increase of human marine activities, oil spills such as oil exploration and ship accidents occur frequently, which pose a huge threat to the marine ecological environment and cause great losses to the social economy. After the marine oil spill occurs, the real-time and accuracy of oil spill detection is of great significance to protect the marine ecological environment and reduce social and economic losses. Microwave remote sensing technology is a technology that uses electromagnetic waves with a wavelength of 1 mm to 1 meter to remotely detect target object information, and usually uses a Synthetic Aperture Radar (SAR) operating platform. Compared with optical remote sensing technology, microwave remote sensing technol...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/46G06K9/62G06K9/36G06K9/54G06N3/08G06T3/40G06T9/00G06T7/40G06T7/00
CPCG06N3/084G06T3/40G06T9/00G06T2207/20024G06T2207/20036G06T2207/10044G06T2207/30181G06V20/13G06V10/20G06V10/247G06V10/443G06V10/30G06F18/241
Inventor 陈彦赵鹏赵讯童玲
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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