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Recognition and Extraction of Marine Oil Spill Information Based on SAR Image

An extraction method and information recognition technology, applied in the field of image processing, can solve problems such as high false alarm rate, achieve the effects of improving accuracy, expanding the scope of application, and avoiding false segmentation

Inactive Publication Date: 2019-07-12
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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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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  • Recognition and Extraction of Marine Oil Spill Information Based on SAR Image
  • Recognition and Extraction of Marine Oil Spill Information Based on SAR Image
  • Recognition and Extraction of Marine Oil Spill Information 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 method for identifying and extracting marine oil spill information based on SAR images. The noise and distortion of the spaceborne SAR images are eliminated through preprocessing, and then the non-sea areas are covered by the universal processing of the images, and then the two-dimensional The maximum between-class variance method is used to segment the image to obtain the region of interest, on this basis, the morphological filter is used to correct the mis-segmentation phenomenon, and the selected feature parameters are further extracted from the image segmentation region, and finally the sample image processed by the same process is used in combination with prior knowledge The BP neural network trained by the set classifies the results of image segmentation, distinguishes the sea oil spill from the suspected oil spill, and accurately extracts the 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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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/40G06K9/46G06K9/62G06K9/36G06K9/54G06N3/08G06T3/40G06T9/00G06T7/44G06T7/155
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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