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Image registration method for narrow overlapping dual field high spectral imaging instrument

A hyperspectral imaging and dual-field of view technology, applied in the field of hyperspectral image processing, can solve problems such as image registration method mismatching, and achieve the effect of solving the problem of direct stitching errors and good image stitching effects

Active Publication Date: 2015-12-23
SHANDONG UNIV
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  • Claims
  • Application Information

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Problems solved by technology

However, since the image formed by the narrow-overlap dual-field pushbroom hyperspectral imager has the characteristics of a small overlapping area of ​​the left and right fields of view, and there is a certain correspondence between the hyperspectral image and the left and right field of view images, there are errors in the image registration method based on mutual information. matching problem

Method used

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  • Image registration method for narrow overlapping dual field high spectral imaging instrument
  • Image registration method for narrow overlapping dual field high spectral imaging instrument
  • Image registration method for narrow overlapping dual field high spectral imaging instrument

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Embodiment

[0040] The embodiment of the present invention is as follows, a method for image registration of the left and right field of view of a narrow-overlapping dual-field hyperspectral imager, which uses a computer to read, analyze, and calculate image data. The steps of the method are as follows:

[0041] 1) Read the required parameters: Read the ground coordinates (X 1 ,Y 1 ) and (X 2 ,Y 2 ), the number of pixels Samples_L and Samples_R, the number of lines Lines_L and Lines_R and the ground resolution r;

[0042] 2) Calculate the number of pixels (SX d ,SY d ):

[0043] SX d = X 1 - X 2 r ...

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Abstract

The invention relates to an image registration method for a narrow overlapping dual field high spectral imaging instrument. According to the method, a ground coordinate of an image after geometric correction is utilized to roughly calculate a corresponding left and right field relation, mutual information in a certain relative position scope is calculated by taking the corresponding relation as reference, mutual information calculated when overlapped image elements are in a small quantity is removed, the largest mutual information is searched from all the left mutual information, a corresponding relation of a left and right field image corresponding to the largest mutual information is the best corresponding image matching relation. Through the method, the ground coordinate of the image after geometric correction and the mutual information are utilized to calculate the image matching relation, a splicing error problem caused by an inaccurate ground coordinate after geometric correction and an information registration matching error problem can be solved, and the registration relation of the image can be rapidly and accurately acquired.

Description

technical field [0001] The invention relates to a method for registering left and right field of view images of a narrow-overlap dual-field hyperspectral imager, and belongs to the technical field of hyperspectral image processing. Background technique [0002] The push-broom hyperspectral imager is one of the most commonly used imagers in aerial photography, and multiple fields of view can expand its total field of view to capture wider images, so multi-field push-broom hyperspectral imaging The registration and stitching of the images produced by the instrument has become an important technical issue. [0003] The narrow-overlap dual-field pushbroom hyperspectral imager is a remote sensing hyperspectral imager developed by the Shanghai Institute of Technical Physics, Chinese Academy of Sciences. The image registration and stitching of the narrow-overlap dual-field pushbroom hyperspectral imager is Refers to image registration and stitching of left and right fields of view...

Claims

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Application Information

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IPC IPC(8): G06T3/00G06T3/40
CPCG06T3/4038G06T3/14
Inventor 马丕明张丽媛马艳华
Owner SHANDONG UNIV
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