High spectral image strip noise elimination method with integration of wavelet transformation and local interpolation

A hyperspectral image and band noise technology, which is applied in the field of hyperspectral signal and information processing, can solve problems such as difficult to obtain satisfactory results, and achieve the effects of wavelet inverse transformation, strong universality, and protection of details

Inactive Publication Date: 2017-03-15
XIJING UNIV
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Problems solved by technology

For broadband and ultra-wideband and randomly distributed stripe noise, it is difficult to obtain satisfactory results with the traditional single filtering method

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  • High spectral image strip noise elimination method with integration of wavelet transformation and local interpolation
  • High spectral image strip noise elimination method with integration of wavelet transformation and local interpolation
  • High spectral image strip noise elimination method with integration of wavelet transformation and local interpolation

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Embodiment Construction

[0055] The present invention will be further elaborated below in conjunction with the accompanying drawings and embodiments.

[0056] The image interception size of this embodiment is 512×486, the spatial resolution is 20m, the spectral resolution is 20nm, and the imaging wavelength range is 1100-2500nm.

[0057] refer to figure 1 , a hyperspectral image strip noise removal method of wavelet transform and local interpolation fusion, comprising the following steps:

[0058] Step 1: Input the hyperspectral image data cube, the hyperspectral image data cube is the preprocessed level 2 product data, the preprocessing includes random noise filtering, radiation correction and geometric correction processing; there are 75 bands in all, and the imaging spectrum is 1100 Nanometer to 2500 nanometers, that is, the short-wave infrared imaging area;

[0059] Step 2: Judging the hyperspectral image band data: the hyperspectral image data is interfered by various factors during the acquisi...

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Abstract

The invention relates to a high spectral image strip noise elimination method with integration of wavelet transformation and local interpolation. The high spectral image strip noise elimination method with integration of wavelet transformation and local interpolation includes the following steps: inputting a high spectral image data cube; judging the high spectral image wave band data; rejecting the damaged high spectral image wave band data; reading the normal high spectral image data of the kth wave band; respectively using two dimension stationary wavelet and local interpolation to filtering strip noise of the high spectral image data; and then performing fusion processing. The high spectral image strip noise elimination method with integration of wavelet transformation and local interpolation can effectively eliminate common thin strip noise, can eliminate the strip noise of broadband and ultra wide band and the strip noise which is distributed without rules, can preferably keep some details and edge geometrical information in the images, at the same time can be applied to different high spectral images, and has relatively high universality.

Description

technical field [0001] The invention belongs to the technical field of hyperspectral signal and information processing, and in particular relates to a hyperspectral image strip noise elimination method combined with wavelet transform and local interpolation. Background technique [0002] Band noise is ubiquitous in hyperspectral remote sensing images, which brings great challenges to the application of hyperspectral images. Effective removal of band noise is the premise and basis for the good application of hyperspectral images. Strip noise removal in hyperspectral images involves the preservation of ground object details and edge information, and they are a pair of contradictory relationships. There are usually two ways to eliminate band noise in hyperspectral images, namely hardware elimination and software elimination. If it is eliminated from the hardware point of view, it is necessary to change the imaging mechanism of the existing sensor grid array to eliminate the st...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/10036G06T2207/20182G06T5/80G06T5/70
Inventor 黄世奇刘哲王荣荣张玉成张婷
Owner XIJING UNIV
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