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Hyperspectral image band selection method based on optimal index band combination

A hyperspectral image and optimal index technology, applied in the field of hyperspectral remote sensing image processing, can solve the problem of low image monitoring accuracy

Pending Publication Date: 2021-07-27
NORTH CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a hyperspectral image band selection method based on the optimal index band combination. The problem of low image monitoring accuracy caused by correlation

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  • Hyperspectral image band selection method based on optimal index band combination
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  • Hyperspectral image band selection method based on optimal index band combination

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Embodiment Construction

[0033] Below in conjunction with embodiment, further illustrate the present invention.

[0034] The hyperspectral image band selection method based on the optimal index band combination is characterized in that it comprises the following steps:

[0035] (1) Preprocessing the hyperspectral image; including strip removal and atmospheric correction; described strip removal, using ENVI software to open the band of the HJ-1A hyperspectral image; Removed, these bands will no longer be considered in subsequent operations. Open 115 bands of HJ-1A hyperspectral image in ENVI software, such as figure 1 The displayed information, (a) band 1 image, (b) band 10 image, (c) band 18 image, (d) band 25 image; after understanding the single-band image information, it can be found that the banding phenomenon is generally strong In the first twenty bands; therefore, in order to improve the accuracy, the first 20 bands with strong banding phenomenon are removed, and these bands are no longer con...

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Abstract

The invention discloses a hyperspectral image waveband selection method based on an optimal index waveband combination. The method comprises the following steps: (1) preprocessing a hyperspectral image; (2) calculating a standard deviation and a correlation coefficient matrix of each wave band for the hyperspectral image; calculating a wave band standard deviation and a correlation coefficient matrix; and (3) calculating the optimal index of the combination of any three wavebands in the hyperspectral image wavebands; firstly, calculating the optimal index value of any three wave band combinations in the wave bands of the hyperspectral image by using the standard deviation and the correlation coefficient matrix in the step (2), and secondly, carrying out descending order arrangement on the optimal index values in all the wave band combinations, and selecting the wave band corresponding to the maximum value to form the final optimal wave band of the image. According to the method, band selection is carried out through the optimal index method, the optimal band combination result is obtained more rapidly and accurately, and the problem of low image monitoring precision caused by correlation is reduced.

Description

technical field [0001] The invention relates to hyperspectral remote sensing image processing, specifically a hyperspectral image band selection method based on optimal index band combination. Background technique [0002] Hyperspectral remote sensing technology has the advantages of high observation precision and abundant ground object observation information. It is a cutting-edge technology in the field of remote sensing research worldwide at this stage. At the same time, hyperspectral remote sensing technology also has the disadvantages of large number of bands, large amount of data, difficult processing, and high redundancy of data information, which limits its wide application in practice. In view of its unique advantages, hyperspectral remote sensing technology has been applied in many other fields, including atmospheric monitoring, plant growth status investigation, crop production estimation, environmental protection monitoring, geological survey and resource explora...

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Application Information

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IPC IPC(8): G06K9/00G06K9/20
CPCG06V20/194G06V20/13G06V10/143
Inventor 白洋贾玉娜雷文露李孟倩
Owner NORTH CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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