Ordered minimum value and wavelet filtering-based high spectral image wide strip removing method
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: 2017-03-15
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. A set of experimental data is shown in 1. The hyperspectral image data acquired by Tiangong-1 in October 2014. The imaging area is a place in Shaanxi Province with a spatial resolution of 20m. figure 2 (a)-(d) respectively represent the 6, 23, 27 and 52 band images. The band noise in these four images is representative, that is, there are bright and dark ones, and the width is more than one pixel. Methods of comparative filtering include Butterworth Low-Pass Filter (BLPF) algorithm, Moment Matching Filter (MMF) algorithm, Wavelet Transform Zero Filter (Wavelet Transform Zero Filter, WTZF) algorithm, and OWM algorithm.
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An ordered minimum value and wavelet filtering-based high spectral image wide strip removing method is disclosed. Based on a high spectral imaging mechanism, a strip noise generation mechanism and strip noise distribution characteristics, multi-scale decomposition of wavelets is used for removing strip noise, and multi-scale and multi-direction properties of the wavelets and directionality of the strip noise are fully considered; dark strip, gray strip and bright strip noise can be effectively removed; super-wide strip noise can be filtered, and good de-noising effects can be obtained.
Description
Technical field [0001] The invention belongs to the technical field of signal and information processing, and specifically relates to a combination of ordered filtering of images, wavelet transform multi-scale decomposition filtering and moment matching filtering, a method for removing wide bands of hyperspectral images based on ordered minima and wavelet 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 as to obtain spectral curves reflecting the chemical material characteristics of ground objects, making many original multi-spectral images impossible 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 identification, but the data in this band currently has a lot of random noise and b...
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Login to View More 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