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Neighbor point search method and system for dimensionality reduction of spectral image data

A spectral image and data dimensionality reduction technology, applied in the field of spectral image data dimensionality reduction, can solve the problem that the data cannot reconstruct the three-dimensional characteristics of hyperspectral data well, so as to reduce redundancy, improve performance, and improve accuracy Effect

Active Publication Date: 2017-10-24
WUHAN UNIV
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Problems solved by technology

This regards the spectral image as an isolated point, or a group of disordered spectral vector queues, ignoring the spatial information in the spectral image, so that the data after dimensionality reduction cannot reconstruct the hyperspectral data well. Three-dimensional characteristics

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  • Neighbor point search method and system for dimensionality reduction of spectral image data
  • Neighbor point search method and system for dimensionality reduction of spectral image data
  • Neighbor point search method and system for dimensionality reduction of spectral image data

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Embodiment

[0046] The concrete operation of embodiment is as follows:

[0047] Such as figure 2 , take the current pixel as the center, take a window of 3×3 size, N=9, and set each pixel in the window from left to right and from top to bottom to be X 1 ,X 2 ,X 3 ,X 4 ,X 5 ,X 6 ,X 7 ,X 8 ,X 9 , where X 5 is the current pixel; calculate X separately 1 ,X 2 ,X 3 ,X 4 ,X 5 ,X 6 ,X 7 ,X 8 ,X 9 with X 5 The spectral distance, the spectral distance calculation formula is as follows:

[0048]

[0049] Among them, SAM(a,b) is the spectral distance between pixel a and pixel b, is the inner product of a and b, and || means to take the two norm.

[0050] Let X j with X 5 The spectral distance of D xj , the value of j is 1, 2,..., N, record X 1 ,X 2 ,X 3 ,X 4 ,X 5 ,X 6 ,X 7 ,X 8 ,X 9 with X 5 The spectral distances are D x1 -D x9 , calculate 9 spectral distances D x1 ,D x2 ,D x31 ,D x4 ,D x5 ,D x6 ,D x7 ,D x8 ,D x9 mean D x ; when D x1 -D x9 appears...

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Abstract

The present invention proposes a neighbor point search method and system for dimensionality reduction of spectral image data, which includes first filtering the pixels in the window where the current pixel is located to eliminate pixels that are greatly interfered by noise and other factors; and then filtering the current pixel and the to-be- The pixels in the window where the comparison pixel is located are sorted respectively, and the spectral distance between the current pixel and the window where the pixel to be compared is located is calculated; the pixels with the highest similarity are selected as the neighbor points of the current pixel. The method of the present invention makes full use of spatial information, and through sorting, the search process is not affected by changes in the image geometry, has spatial robustness, and also has a good inhibitory effect on some noise-contaminated points, so that the found neighbor points It is more accurate and improves the performance of dimensionality reduction processing of hyperspectral image data.

Description

technical field [0001] The present invention relates to the technical field of spectral image data dimensionality reduction, in particular, the present invention relates to a neighbor point search method and system for spectral image data dimensionality reduction. Background technique [0002] Spectral remote sensing is a new technology for earth observation. It is a technique for obtaining spectral data in many fine and continuous narrow bands in the ultraviolet, visible, near-infrared, mid-infrared and thermal infrared bands of the electromagnetic spectrum. Using airborne or spaceborne instruments with high spectral resolution, remote sensing of the earth's surface can obtain a lot of information that is difficult to obtain from ground observations. What the spectral imager obtains is a three-dimensional data cube, which includes two-dimensional spatial information and one-dimensional spectral curve information of each pixel. With the advancement of spectrometer technolog...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06T3/06
Inventor 马泳黄珺马佳义
Owner WUHAN UNIV
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