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Method for conducting high-precision and steady registration on diversified sensor remote sensing images

A remote sensing image, high-precision technology, applied in the field of remote sensing image processing, can solve problems such as uneven distribution of control points

Inactive Publication Date: 2010-03-10
HARBIN INST OF TECH
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  • Claims
  • Application Information

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Problems solved by technology

[0005] Aiming at the problem of uneven distribution of control points in the registration process, the present invention proposes a method for high-precision and robust registration of remote sensing images from various sensors

Method used

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  • Method for conducting high-precision and steady registration on diversified sensor remote sensing images
  • Method for conducting high-precision and steady registration on diversified sensor remote sensing images
  • Method for conducting high-precision and steady registration on diversified sensor remote sensing images

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specific Embodiment approach 1

[0019] Specific implementation mode one: combine Figure 1 to Figure 3 Describe this embodiment, the steps of this embodiment are as follows:

[0020] Step 1: Coarse registration of joint point features and region features:

[0021] Selection of point features: use Scale Invariant Feature Transform (SIFT) to extract key points for matching from the reference image and input image respectively; use Euclidean distance to calculate the key points in the reference image and the key points in the input image The distance between the points, select the smallest three pairs of key points in the distance as the candidate coarse registration point pair;

[0022] Selection of regional features: use the Maximally Stable Exremal Region (MSER) ​​to extract the regions in the reference image and the input image respectively, and use the invariant moments to perform two-way matching on the regions in the reference image and the regions in the input image to obtain For the most similar thre...

specific Embodiment approach 2

[0038] Specific embodiment 2: The difference between this embodiment and specific embodiment 1 is that in step 1, when using the Euclidean distance to calculate the smallest three pairs of key points, the threshold value range is set to 0.5-0.7; the optimal threshold value of the Euclidean distance is 0.58, 0.6 or 0.62. Other steps are the same as in the first embodiment.

specific Embodiment approach 3

[0039] Specific embodiment 3: The difference between this embodiment and specific embodiment 1 is that when the invariant moment is used to judge the most similar region in step 1, the threshold value range is set to 0.7-0.9, and the optimal threshold value is 0.78, 0.8 or 0.8. 0.82. Other steps are the same as in the first embodiment.

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Abstract

The invention discloses a method for conducting high-precision and steady registration on diversified sensor remote sensing images, which relates to the field of remote sensing image processing and adopts the following steps aiming at the problem that the control points are unevenly distributed in the registration process: step 1: crude registration of combined point characteristics and regional characteristics and elimination of larger scale, rotation and translation differences between a reference image and an input image, which are realized by matching the combined point characteristics andregional characteristics; step 2: scale space feature extraction and matching of a great amount of registration control point pairs, which aim at extracting a great amount of control point pairs forfine registration; and step 3: screening and fine registration based on control point information amount, which aims at screening the control points according to self-contained information amount andfinishing high-precision fine registration. The invention provides the method for conducting high-precision and steady registration on diversified sensor remote sensing images.

Description

technical field [0001] The invention relates to the field of remote sensing image processing, in particular to a method for high-precision and robust registration of multiple sensor remote sensing images. Background technique [0002] With the development of remote sensing sensor technology, the complementarity between the data obtained by different sensors is becoming stronger and stronger. How to combine the image data of these different types of sensors for collaborative processing, image registration is a crucial prerequisite. [0003] Image registration methods can be mainly divided into two categories based on global technology and local technology. The global technology needs to use all the pixel information of the image, which requires a large amount of calculation, while the local technology extracts the local features of the image for registration. The number of pixels in the remote sensing image is huge, and the local technology is mainly used for registration, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G01S7/48G01S13/90
Inventor 郭琰张晔谷延锋仲伟志
Owner HARBIN INST OF TECH
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