Method for registration on remote-sensing image based on improved SIFT feature

A remote sensing image and image technology, applied in the field of remote sensing image processing, can solve the problems of high overlap, low precision, low efficiency, etc., and achieve the effect of reducing time complexity, enhancing uniqueness and robustness

Inactive Publication Date: 2017-04-05
重庆信科设计有限公司
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Problems solved by technology

[0003] The problem to be solved by the present invention lies in the large amount of image data acquired by the remote sensing platform and the characteristics of high overlap. It often brings problems such as low precision and low efficiency. The present invention proposes an improved SIFT descriptor construction method, and

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  • Method for registration on remote-sensing image based on improved SIFT feature
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  • Method for registration on remote-sensing image based on improved SIFT feature

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Embodiment Construction

[0046] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0047] Technical scheme of the present invention is as follows:

[0048] The SIFT descriptor is distribution-based, and it uses a histogram of directions to represent features that vary in appearance or shape, such as figure 1 , 2 . For this purpose, the local feature region is divided into different sub-regions, and a specific histogram for each sub-region is calculated, and the final feature point descriptor is obtained by the ordered concatenation of these histograms. This is often problematic in terms of quality, quantity, distribution of extracted features, sensitivity to illumination intensity and geometric differences, especially in remote sensing images. The idea of ​​the present invention is t...

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Abstract

The invention provides a research on registration on a remote-sensing image based on an improved SIFT feature. According to the characteristics of large data volume and high overlapping rate of the remote-sensing image and defects of matching errors and the matching efficiency caused by complex factors including illumination and geometric difference etc., an improved method of SIFT feature descriptors is deeply researched: constructing the feature descriptors by employing a feature point circular area; performing division of a local area and calculation of a gradient histogram by employing an adaptive quantization strategy, re-determining the principal direction of each descriptor by employing an interpolation method, and improving the feature descriptors of an SIFT algorithm; and employing a novel SIFT feature matching algorithm based on block matching. According to the method, the time loss for feature extraction and matching is reduced through removal of non-overlapped areas, and the uniqueness and the robustness of the feature point descriptors can be guaranteed.

Description

technical field [0001] The invention relates to the field of remote sensing image processing, in particular to a registration method on remote sensing images based on improved SIFT features. Background technique [0002] At present, remote sensing image processing has been widely used in many fields such as environmental monitoring, terrain survey, military investigation, disaster warning, etc., among which image registration is a key step, and the accuracy and real-time performance of registration have great influence on these applications. influences. Therefore, many registration methods have been proposed to solve this problem, which are divided into two categories: region-based methods and feature-based methods. Since region-based methods are quite sensitive to geometric and nonlinear gray distortions in remote sensing images, and remote sensing images usually require a large amount of data processing, feature-based image registration methods are more suitable than regi...

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Application Information

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IPC IPC(8): G06T7/33
CPCG06T2207/10032G06T2207/30181
Inventor 李校林李银何登平
Owner 重庆信科设计有限公司
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