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A remote sensing image registration method based on multi-source sensors

A remote sensing image and source sensor technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as automatic registration of remote sensing images

Active Publication Date: 2016-02-10
济钢防务技术有限公司
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Problems solved by technology

[0010] The purpose of the present invention is to provide a remote sensing image registration method for multi-source sensors, to perform high-precision and fast registration for multi-source sensors, multi-temporal, and multi-view remote sensing images, so as to solve the problem of automatic registration of remote sensing images

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  • A remote sensing image registration method based on multi-source sensors
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  • A remote sensing image registration method based on multi-source sensors

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Embodiment Construction

[0084] A remote sensing image registration method of a multi-source sensor of the present invention comprises the following steps:

[0085] The first step is to perform scale-space transformation on the image to be registered and the reference image respectively, extract feature points, and screen the optimal matching point pairs. The specific method is as follows:

[0086] 1.1. Use the two-dimensional Gaussian function to check the reference image and the image to be registered for scale space transformation, and obtain the scale space representation sequence under multi-scale.

[0087] 1.2. Feature point detection, extract the extreme value of scale space, and realize the precise positioning of feature points through function fitting. The specific steps are as follows:

[0088] 1.2.1. Simultaneously detect extreme values ​​as feature points in the image two-dimensional plane space and DOG (Difference-of-Gaussian) scale space, where the DOG operator is the difference between ...

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Abstract

The invention provides a remote sensing image registration method of a multi-source sensor, relating to an image processing technology. The remote sensing image registration method comprises the following steps of: respectively carrying out scale-invariant feature transform (SIFT) on a reference image and a registration image, extracting feature points, calculating the nearest Euclidean distances and the nearer Euclidean distances of the feature points in the image to be registered and the reference image, and screening an optimal matching point pair according to a ratio; rejecting error registration points through a random consistency sampling algorithm, and screening an original registration point pair; calculating distribution quality parameters of feature point pairs and selecting effective control point parts with uniform distribution according to a feature point weight coefficient; searching an optimal registration point in control points of the image to be registered according to a mutual information assimilation judging criteria, thus obtaining an optimal registration point pair of the control points; and acquiring a geometric deformation parameter of the image to be registered by polynomial parameter transformation, thus realizing the accurate registration of the image to be registered and the reference image. The remote sensing image registration method provided by the invention has the advantages of high calculation speed and high registration precision, and can meet the registration requirements of a multi-sensor, multi-temporal and multi-view remote sensing image.

Description

technical field [0001] The invention relates to a method for image registration in the technical field of image processing, and is a high-precision and fast registration method for multi-source sensor, multi-temporal and multi-view remote sensing images. Background technique [0002] Image registration is a process of matching and superimposing two or more images with multi-temporal, multi-sensor, and multi-view angles. It has been widely used in remote sensing image processing, target recognition, medical image analysis, machine vision and other fields. In the field of remote sensing, image registration is a key step to achieve heterogeneous image fusion, heterogeneous image analysis, target change detection and recognition, image correction, image mosaic, etc. Image registration methods are mainly divided into two categories: region registration methods and feature registration methods. [0003] (1) Registration based on image area [0004] The region-based registration ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 石悦付琨孙显
Owner 济钢防务技术有限公司
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