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A hyperspectral remote sensing image misalignment correction method and device for line push-broom imaging

A hyperspectral remote sensing and image technology, applied in the field of image processing, can solve problems such as difficulty in applying hyperspectral image misalignment correction

Inactive Publication Date: 2020-03-20
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In view of this, the present invention proposes a hyperspectral remote sensing image error correction method and device for line push-broom imaging, in order to solve the problem that traditional image error correction methods are difficult to apply to hyperspectral image error correction in line push-broom mode technical issues

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  • A hyperspectral remote sensing image misalignment correction method and device for line push-broom imaging
  • A hyperspectral remote sensing image misalignment correction method and device for line push-broom imaging
  • A hyperspectral remote sensing image misalignment correction method and device for line push-broom imaging

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Embodiment 1

[0043] This embodiment provides a hyperspectral remote sensing image misalignment correction method for line pushbroom imaging, please refer to figure 2 , is a flowchart of a method for correcting misalignment of hyperspectral remote sensing images for line pushbroom imaging, and the method may include:

[0044]Step S11: selecting multiple band images from the hyperspectral remote sensing image, and performing brightness normalization processing on the multiple band images;

[0045] A hyperspectral remote sensing image is a collection of images taken with multiple wavelengths at the same time, that is, a line hyperspectral remote sensing image contains image data of multiple bands, and a hyperspectral remote sensing image usually contains image data of tens to hundreds of bands. The brightness information of images in different bands may be quite different, which affects subsequent data processing. Therefore, normalize the brightness of the selected multiple band images. Spec...

Embodiment 2

[0058] This embodiment provides another line push-broom imaging hyperspectral remote sensing image misalignment correction method, please refer to image 3 , which is a flowchart of the method for correcting misalignment of the hyperspectral remote sensing image of the line push-broom imaging, wherein steps S21 , S23 , S24 and S25 are respectively the same as steps S11 , S12 , S13 and S14 in the embodiment. The method can include:

[0059] Step S21: selecting multiple band images from the hyperspectral remote sensing image, and performing brightness normalization processing on the multiple band images;

[0060] Step S22 : Search for bright pixels and excessively dark pixels in the plurality of band images, and set the brightness values ​​of the bright pixels and the excessively dark pixels to zero.

[0061] The specific step S22 may include the following steps:

[0062] Step A11: For each adjacent two rows of pixels in the hyperspectral remote sensing image, use the correspo...

Embodiment 3

[0075] This embodiment provides a line push-broom imaging hyperspectral remote sensing image misalignment correction device, see Figure 4 As shown, the apparatus may include:

[0076] A data selection unit 11, configured to select multiple band images from the hyperspectral remote sensing image, and perform brightness normalization processing on the multiple band images;

[0077]The correlation value calculation unit 12 is used to calculate the correlation value of each adjacent two rows of pixels in the hyperspectral remote sensing image according to the first formula, and k sequentially takes an integer within the preset range [-p, +p], so The first formula is:

[0078]

[0079] Wherein, r(k) represents the correlation value between the pixels in the L+1th row and the pixels in the Lth row when the pixels in the L+1th row move k pixel positions relative to the pixels in the lower Lth row, and b represents the multiple bands The total number of images, n represents the ...

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Abstract

The invention provides a method and device for correcting misalignment of hyperspectral remote sensing images using line push broom imaging. According to the characteristics of the hyperspectral remote sensing image data itself, it is calculated that the pixels in the next row of two adjacent rows of pixels in the hyperspectral remote sensing image are relatively upward. The pixel position of a row of pixels to be moved, and then the pixel position of each row of pixels in the hyperspectral remote sensing image to be moved relative to the first row of pixels in the hyperspectral remote sensing image is calculated; and based on the pixel position in the hyperspectral remote sensing image The pixel position of each row of pixels to be moved relative to the first row of pixels is used to correct the hyperspectral remote sensing image. Since the present invention provides a method and device for correcting misalignment of hyperspectral remote sensing images using line push broom imaging, it utilizes multiple band image data in hyperspectral remote sensing images for misalignment correction and solves the problem that traditional image misalignment correction methods are difficult to apply. Technical issues related to misalignment correction of hyperspectral images in line pushbroom mode.

Description

technical field [0001] The invention relates to the field of image processing, and more specifically, to a method and device for correcting wrong lines of hyperspectral remote sensing images in line push-broom imaging. Background technique [0002] Spectral images with a spectral resolution in the range of 10 nanometers are called hyperspectral images. Hyperspectral remote sensing images can be obtained by scanning rows by rows with push-broom sensors. Hyperspectral remote sensing images are dozens or hundreds of images obtained at the same time. Remote sensing images with even thousands of bands. Since hyperspectral imaging is a push-broom imaging mode, and due to many unstable factors, such as the mechanical vibration of the push-broom sensor itself, the vibration of the flight platform, and the interference of airflow fluctuations, there will be a gap between two adjacent lines in the obtained hyperspectral remote sensing image. Misalignment, such as figure 1 shown. If...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/80
Inventor 陈正超朱俊杰李柏鹏杨轩高建威张兵
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI