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Proceedings ArticleDOI

Study on Guidance Algorithm of Scene Matching based on Different Source Images for Cruise Missile

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TLDR
With this method of two stages image matching from coarse matching to fine matching, the guidance accuracy of cruise missile is improved greatly, and the matching accuracy is higher when images are different source or rotated.
Abstract
Scene matching guidance based on different source images is one of the most difficult problems that land attack cruise missile faces at the stage of terminal guidance. Usually the reference images are provided by CCD optical equipment of reconnaissance satellite, and real-time images come from infrared seeker of missile, so reference images and real-time images differ extremely in image quality. If the conventional algorithm is applied for scene matching, the matching effect will be bad. So a kind of new scene matching algorithm based on different source images is studied in this paper. First of all, the different source images are preprocessed by the method of edge enhancement. Then the radial projection algorithm is used for coarse image matching. On the basis of coarse matching, the edge features of infrared images and visible images are extracted for fine image matching ulteriorly. With this method of two stages image matching from coarse matching to fine matching, the guidance accuracy of cruise missile is improved greatly, and the matching accuracy is higher when images are different source or rotated.

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Citations
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Journal ArticleDOI

Feature Point Matching Based on Distinct Wavelength Phase Congruency and Log-Gabor Filters in Infrared and Visible Images.

TL;DR: An infrared and visible image matching approach, based on distinct wavelength phase congruency (DWPC) and log-Gabor filters, and this method is modified for non-linear image matching with different physical wavelengths is proposed.
Proceedings ArticleDOI

A Multi-sensor Image Matching Method Based on KAZE-HOG Features

TL;DR: This paper presents a multi-sensor image matching algorithm based on KAZE-HOG features, which has strong robustness, and it has good capability to resist scale and rotation transformations.
Journal ArticleDOI

Design and implementation of parallel algorithm for image matching based on Hausdorff Distance

TL;DR: The outcomes demonstrated that, contrasted and, the new Hausdorff Distance (HD) might be more alluring approach to discard image clamor coordinating, because of the extensive reflection to decide the dark scale data Haus Dorff Distance of adjoining pixels in the shooting of his realities into account.
References
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Journal ArticleDOI

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TL;DR: Experiments with Gaussian noise demonstrate that the proposed algorithm is robust to detect the target object with the changes of translation, orientation and scale, and is suitable for on-line template matching with scene translation, rotation and scaling.
Journal ArticleDOI

Rotation-discriminating template matching based on Fourier coefficients of radial projections with robustness to scaling and partial occlusion

TL;DR: The complex coefficients of the discrete Fourier transform of the radial projections to compute new rotation-invariant local features can be efficiently obtained via FFT and are suitable for finding many query images in A, multi-scale searching and partial occlusion-robust template matching.
Proceedings ArticleDOI

An improved matching algorithm for feature points matching

TL;DR: The experimental results show that the mismatching that is brought by feature matching can be solved effectively through the method, and the problems such as the lacks of detail texture in the matching process are solved, and a more accurate and clear disparity map can be got.
Journal Article

Status and Prospect of Algorithm for Scene Matching Systems

TL;DR: The key elements of scene matching algorithm are introduced, the different principle and applicability of some representative algorithms which include the classical algorithms based on region, feature, transformation domain and model are described as well as its improved method in detail.