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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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  • 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 characteristics to oil spill areas, which also appear as shadow areas on SAR images. The identification and extraction of information has caused a non-negligible impact, resulting in a very high false alarm rate

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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