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A ship detection method in optical remote sensing images

A technology of optical remote sensing images and detection methods, which is applied in the direction of instruments, calculations, character and pattern recognition, etc., to save time and resources, eliminate limitations, and solve limitations

Active Publication Date: 2021-04-06
JIMEI UNIV
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Problems solved by technology

[0003] In view of this, the purpose of the present invention is to propose a ship detection method for optical remote sensing images, which can solve the limitations of complex background spectrum applications, and can also solve the problem of a large amount of preparatory work in the early stage of learning using neural networks

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  • A ship detection method in optical remote sensing images
  • A ship detection method in optical remote sensing images
  • A ship detection method in optical remote sensing images

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[0055] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0056] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0057]It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinat...

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Abstract

The invention relates to a ship detection method of an optical remote sensing image. Firstly, a remote sensing image with high spatial resolution is obtained, and grayscale and smoothing filtering are performed; then an observation model is created, and the ship detection problem is transformed into Simple denoising problem; then hierarchical Bayesian model prior estimation; finally Bayesian inference is used to estimate the target value. The invention can solve the limitations of complex background spectrum application, and can also solve the problem of a lot of preparatory work in the early stage of neural network learning.

Description

technical field [0001] The invention relates to the technical field of ship detection, in particular to an optical remote sensing image ship detection method. Background technique [0002] Most of the detection of specific objects in remote sensing images now relies on infrared spectroscopy or requires neural networks to learn a large number of objects in advance. For example, in the identification of offshore artificial facilities in patent 201710958291.9, hyperspectral sensors are used to extract spectral features in the spectral domain and target image features in the image domain. Spectral images cannot be realized due to too many interference factors. In the ship detection method in patent 201810254091.X, the deep learning single-step detector (the principle of which is a convolutional neural network) is used to first learn the ship targets in a large number of optical remote sensing images containing ships. This operation requires It is not easy to collect a large nu...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 周海峰卢其炎熊超王荣杰陈景锋陈清林王佳宋佳声吴金地张兴杰林忠华陈雨菡
Owner JIMEI UNIV