A Registration Method of Shape Features of Remote Sensing Image

A shape feature, remote sensing image technology, applied in the field of image processing

Active Publication Date: 2017-07-28
BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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Problems solved by technology

[0012] The technical problem solved by the present invention is: to overcome the shortcomings of existing image registration based on regional feature descriptors, and to provide a parallel image registration method based on shape features for large-scale remote sensing images, by using inverse mathematics for sub-block images The model extracts extremely significant horizontal lines, resists the influence of affine changes, noise, etc., can realize fast search after normalization, and can take into account the registration accuracy and global geometric relationship during global image transformation, and realize fast and high-precision affine alignment variable registration

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  • A Registration Method of Shape Features of Remote Sensing Image
  • A Registration Method of Shape Features of Remote Sensing Image
  • A Registration Method of Shape Features of Remote Sensing Image

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Embodiment Construction

[0056] According to the Gestalt invariance law proposed by Wertheimer et al., shape recognition should meet the following conditions:

[0057] (1) The contrast change between pixels cannot affect its effect;

[0058] (2) Can better tolerate the impact of viewpoint changes;

[0059] (3) Insensitivity to noise prevalent in images;

[0060] (4) It is more robust to local occlusion, so its local performance ability is more important;

[0061] (5) It is not sensitive to downsampling, which can be understood as scale change.

[0062] From the perspective of experimental analysis, there are two kinds of shapes: Any non-deformable object can get different images under different viewing angles and lighting conditions. If the images contain identifiable shape information, then the object itself is identifiable. , whose shape information constitutes its identification code (the change of the target background is small), and the close-range image sequence in the laboratory environment ...

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Abstract

The invention discloses a method for registering shape features of remote sensing images. An opposite detection background model is adopted for extracting the maximum stable and distinguishing shape features from the images, affine normalization is completed, and the error is controlled in combination with a wrong matching removal method with registration accuracy being a guide. Based on an inverse mathematical problem description, the method provides a high-accuracy registration mechanism for the remote sensing images, is not sensitive to scene changes between gray differences and wave bands of different images, solves the problems caused by background or texture changes, meanwhile has the affine invariant characteristic, and is high in execution efficiency and particularly suitable for registering the multi-source remote sensing images under the conditions of size changing and rotating.

Description

technical field [0001] The invention belongs to the field of image processing and relates to a registration method of remote sensing images. Background technique [0002] The registration of remote sensing images is the process of aligning the information of two or more images of the same scene taken at different times, from different sensors, or from different perspectives. Remote sensing images with multiple temporal phases or different wave bands provide redundant information descriptions, which can be combined for integration or special product generation to make up for the lack of field of view or temporal resolution. [0003] Commonly used image registration methods can be roughly divided into two categories: one is based on the region method, that is, the image is registered according to the similarity or correlation of the region, such as the correlation coefficient method first proposed by Pearson et al., and the method proposed by Barnea et al. The sequential simi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/33
Inventor 曹世翔岳春宇邢坤何红艳句龙周楠李岩张炳先李方琦江澄
Owner BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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