Broad Band Removal Method of Hyperspectral Image Based on Ordered Minimum and Wavelet Filtering
A hyperspectral image and wavelet filtering technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems that the algorithm or method is difficult to obtain the effect, and the bright band noise processing effect is not ideal.
Inactive Publication Date: 2019-05-17
XIJING UNIV
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However, a single algorithm or method is difficult to obtain the ideal effect. For example, the wavelet multi-scale decomposition is not ideal for bright strip noise processing, and moment matching requires a relatively uniform distribution of ground objects.
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[0089] In order to verify the effectiveness and feasibility of the algorithm proposed in this paper, a series of experiments are carried out, and a set of experimental data is given as shown in 1. Hyperspectral image data acquired by Tiangong-1 in October 2014, the imaging area is a certain place in Shaanxi Province, and the spatial resolution is 20m. figure 2 (a)-(d) represent the 6th, 23rd, 27th, and 52nd band images, respectively. The band noise in these four images is representative, that is, bright and dark, and the width exceeds one pixel. The methods for comparison filtering include Butterworth Low-Pass Filter (BLPF) algorithm, Moment Matching Filter (MMF) algorithm, Wavelet Transform Zero Filter (WTZF) algorithm and OWM algorithm.
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A wide band removal method for hyperspectral images based on ordered minima and wavelet filtering. Starting from the hyperspectral imaging mechanism and band noise generation mechanism as well as the characteristics of band noise distribution, wavelet multi-scale decomposition is used to remove band noise. Taking full account of the multi-scale and multi-directional characteristics of wavelets and the directional advantages of strip noise, it can not only effectively remove dark strips, gray strips and bright strip noises, but also filter out ultra-wide strips , to obtain good denoising effect.
Description
technical field [0001] The invention belongs to the technical field of signal and information processing, and specifically relates to a hyperspectral image wide strip removal method based on ordered minimum and wavelet filtering, which combines ordered filtering of images, wavelet transform multi-scale decomposition filtering and moment matching filtering . Background technique [0002] Hyperspectral remote sensing technology was born in the early 1980s. It mainly obtains very narrow band images in the ultraviolet, visible and infrared bands, so that it can obtain spectral curves that reflect the characteristics of surface chemical materials, making many original multispectral images that cannot be obtained. The identified features become very easy to implement. Among them, the hyperspectral remote sensing image in the shortwave infrared band is an important data source for ground object detection and recognition, but at present, there are a lot of random noise and band noi...
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IPC IPC(8): G06T5/00G06T5/10
CPCG06T5/10G06T2207/20064G06T2207/10036G06T5/70
Inventor 黄世奇张婷刘哲张玉成黄文准
Owner XIJING UNIV