Ship detection method and device

A ship detection and ship technology, which is applied in the field of image processing and computer vision, can solve problems such as confusion, and achieve the effects of avoiding influence, stable performance, and favorable classification

Pending Publication Date: 2020-08-25
AEROSPACE INFORMATION RES INST CAS
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Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the object of the present invention is to provide a kind of classification difficulty is low and the positioning result is more accurate, can distinguish adjacent ship targets, avoid target confusion, reduce training sample shortage and category unevenness Influence, improve the classification performance of the classifier, and realize the method of identifying the specific model of the ship target

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Embodiment Construction

[0044]The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0045] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments These are some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0046] In order to solve the problem that the prior art cannot directly locate and perform model-level classification, the present invention provides a ship detection method. By modeling ...

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Abstract

The invention relates to a ship detection method and device. The method comprises the steps of obtaining an accurate positioning rotating rectangular frame of a ship in a remote sensing image based onship features of the remote sensing image; extracting a slice image of the ship in the remote sensing image based on the accurate positioning rotating rectangular frame of the ship in the remote sensing image; inputting a slice image of a ship in the remote sensing image into a pre-established classification model, and obtaining a ship model of the ship output by the pre-established classification model; according to the ship detection method provided by the invention, the classification difficulty is low, the positioning result is more accurate, adjacent ship targets can be distinguished, target confusion is avoided, the influence of insufficient training samples and non-uniform categories is reduced, the classification performance of the classifier is improved, and the identification ofspecific models of the ship targets is realized.

Description

technical field [0001] The invention relates to the technical field of image processing and computer vision, and in particular to a ship detection method and device. Background technique [0002] In remote sensing images, ship detection has always been a concern. In recent years, with the development of sensors, radar and other technologies, the resolution of remote sensing images has been rapidly improved, making ship detection play an increasingly important role in maritime security, port management, national defense construction and other fields. [0003] At present, the research of ship detection is mainly divided into two aspects: positioning problem and classification problem. The localization problem is to detect ship targets in high-resolution remote sensing images and represent them in the form of a horizontal rectangle or a rotated rectangle. Common methods include SVM-based methods, convolutional neural network-based methods, etc. Another is the classification ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/46G06K9/62G06N3/04
CPCG06V20/13G06V10/25G06V10/40G06N3/045G06F18/24
Inventor 付琨孙显刁文辉冯瑛超陈凯强闫志远赵良瑾
Owner AEROSPACE INFORMATION RES INST CAS
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