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Coarse positioning method for remote sensing image based on Fourier-Mellin transformation

A remote sensing image and coarse positioning technology, applied in the field of remote sensing, can solve the problems of polygon approximation, difficulty in achieving uniform scale, accurate acquisition of local features, and establishment of corresponding relationships

Inactive Publication Date: 2006-10-04
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0004] The several curve matching methods introduced above undoubtedly have certain value in practical applications, but further analysis of these methods, they all have the following two shortcomings: (1) the degree of polygonal approximation (or broken line approximation) to the two original curves It is difficult to achieve a unified scale; (2) Accurate acquisition of local features of points on the curve and establishment of corresponding relationships are also a difficult problem

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  • Coarse positioning method for remote sensing image based on Fourier-Mellin transformation
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  • Coarse positioning method for remote sensing image based on Fourier-Mellin transformation

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Embodiment Construction

[0058] figure 1 In, (a) the short curve. (b) Long curve. A short curve after a set of similar transformations. (c) Matching results.

[0059] figure 2 Process flow of image curve rough matching method based on Fourier-Mellin transform. (It has been described in 3.2, the specific implementation of the positioning method, and is omitted here)

[0060] image 3 In (a) the original remote sensing image. (b) The coastline extracted from the original image. (c) The matching result of the coastline and the corresponding part of the coastline layer in the electronic map. The dotted line indicates the coastline in the electronic map, and the solid line indicates the coastline extracted from the remote sensing image. (d) The rectangle box is the rough position of the remote sensing image in the electronic map.

[0061] Figure 4 In (a) the original remote sensing image. (b) The coastline extracted from the original image. (c) The matching result of the coastline and the cor...

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Abstract

The remote sensing image coarse positioning method based on Fourier-Mellin transformation comprises: (1) extracting short curve c and reference curve C for pre-processing before matching; (2) converting c into binary image named a; (3) with given step and rule, selecting all candidate curve ci and corresponding binary image bi from C; (4) matching bi with a in turn to calculate conversion parameters (alphai, si, x0i, and y0i); (5) taking inverse transformation to c by (alphai, si, x0i, and y0i) to obtain c'i, and calculating the Hi as Hausdorff distance between c'i and ci; (6) taking c* that meets Hmin=min{Hi} as the matching segment of c in C.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a remote sensing image coarse positioning method based on Fourier-Mellin transform. Background technique [0002] The problem of curve matching is involved in many tasks in pattern recognition, computer vision, and image understanding, such as object recognition, visual navigation, localization, etc. In view of the importance of curve matching and its irreplaceable role in some specific application problems, many scholars have done a lot of research on it and proposed various methods. The existing curve matching methods are divided into two categories, one is based on rigid transformation (rigid transformation) method, and the other is based on non-rigid transformation (non-rigid transformation) method. The method based on rigid body transformation generally finds the optimal transformation parameters (relative rotation angle, translation vector, scaling scale) between cu...

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Application Information

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IPC IPC(8): G06K9/80
Inventor 赵训坡李晓明胡占义
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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