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Method for detecting ocean stationary targets by multi-temporal radar data

A technology for stationary targets and radar data, applied in the direction of using re-radiation, measurement devices, radio wave measurement systems, etc., can solve the problem of difficulty in finding stationary targets at sea, and achieve significant effects, improve correctness and integrity, and accurately detect. Effect

Inactive Publication Date: 2012-11-07
NANJING UNIV
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is: to overcome the deficiencies of the existing methods for detecting stationary targets at sea, and to provide a method for detecting stationary targets at sea by using multi-temporal radar data. problem, and the calculation is simple and the operation speed is fast

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  • Method for detecting ocean stationary targets by multi-temporal radar data
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  • Method for detecting ocean stationary targets by multi-temporal radar data

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Embodiment Construction

[0041] The purpose and effects of the present invention will become more apparent by referring to the accompanying drawings in detail of the present invention.

[0042] The experimental data of this embodiment is the ASA_WSM_1PNCUH20061013_14524 ENVISAT ASAR wide-format image acquired by the Chinese University of Hong Kong Satellite ENVISAT ASAR Ground Receiving Station in 2006 and the ASA_WSM_1PNCUH20080208_02335ENVISAT ASAR wide-format image acquired in 2008. The original data are as follows figure 1 and figure 2 shown.

[0043] A kind of method of utilizing ENVISAT ASAR data of the present embodiment to discover sea stationary target, comprises the following steps:

[0044] Step 1. Data preparation—select two scenes of ENVISAT ASAR image data in different phases of the target area.

[0045] Read the single-view ENVISAT ASAR image data named ASA_WSM_1PNCUH20061013_14524 in 2006 and the single-view ENVISAT ASAR image data named ASA_WSM_1PNCUH20080208_02335 in 2008, and con...

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Abstract

The invention relates to a method for detecting ocean stationary targets by multi-temporal radar data. The data utilized by the method are multi-temporal ENVISAT ASAR (advanced synthetic aperture radar) images. Ocean targets are extracted by the CFAR (constant false alarm rate) algorithm based on double parameters for multi-view ENVISAT ASAR data, an optimized algorithm parameter is provided for the ENVISAT ASAR data, and accordingly the double-parameter CFAR is suitable for the ENVISAT ASAR data. The multi-temporal ocean targets are matched by an ocean target point matching method based on the RANSAC (random sample consensus) algorithm, and points, which coincide with each other, are the ocean stationary targets. Therefore, ocean stationary targets of offshore drilling and the like can be detected effectively, and resources of offshore oil development and the like and environment conditions are monitored quickly, timely and accurately.

Description

technical field [0001] The invention relates to a method for detecting stationary targets at sea, in particular to a method for detecting stationary targets at sea by using multi-temporal radar images. Background technique [0002] The South China Sea is my country's resource bank, with extremely rich oil and gas resources. On May 9, 2012, my country's first self-designed and built sixth-generation deep-water semi-submersible drilling platform "Offshore Oil 981" officially started drilling. So far, there are more than 1,000 drilling platforms of various types in various countries in the South China Sea. It is extremely important to discover and monitor these stationary targets in time. However, to monitor sea targets and their nearby sea areas, it is first necessary to discover stationary targets at sea. [0003] In the aspect of maritime target detection, scholars at home and abroad have done a lot of research. For example: In 2001, Pastina D et al. published "Adaptive p...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/88G01S13/90
Inventor 李满春程亮刘永学陈振杰李飞雪杨康童礼华王亚飞马磊潘航
Owner NANJING UNIV
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