Improved hyperspectral image denoising method

A hyperspectral image and spectrum technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as noise, and achieve high use value and significant denoising effect.

Active Publication Date: 2017-06-09
NANJING NORMAL UNIVERSITY
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Problems solved by technology

[0004] Purpose of the invention: In order to solve the problem of possible noise in the hyperspectral image acquisition and transmission process, the present invention proposes an improved hyperspectral image denoisi

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Embodiment Construction

[0054] Such as figure 1 As shown, the improved hyperspectral image denoising method of this embodiment includes the following steps:

[0055] Step 1: Convert the hyperspectral image to be denoised into a two-dimensional matrix of spatial-spectral union.

[0056] This step specifically includes:

[0057] (1-1) Acquire the hyperspectral image X∈R to be denoised m×n×b , where m and n are the number of rows and columns of the spatial structure respectively, and b is the number of bands;

[0058] (1-2) Record the value of the i-th pixel of the hyperspectral image X on all bands as a vector d i , i=1,2,...,mn, mn is the number of pixels;

[0059] (1-3) All the vectors are assembled, which is the two-dimensional matrix D=[d 1 , d 2 ,...,d mn ].

[0060] Step 2: According to the two-dimensional matrix of the space-spectrum union, the spatial similarity between the pixels of the hyperspectral image and its neighbors is calculated using the Euclidean distance-based neighbor simi...

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Abstract

An improved hyperspectral image denoising method disclosed by the present invention comprises the following steps of (1) transforming a to-be-denoised hyperspectral image into a spatial spectrum jointed two dimensional matrix; (2) according to the spatial spectrum jointed two dimensional matrix, adopting an euclidean distance-based neighbor similarity calculation strategy to calculate the spatial similarity of the pixel points of the hyperspectral image and the adjacent pixel points; (3) combining the pixel point spatial local similarity and the low rank property between the spectrums, establishing a denoising model, and recovering the original noise-free data; (4) adopting the original noise-free data to recover a three dimensional noise-free hyperspectral image. The improved hyperspectral image denoising method of the present invention enables a denoising effect to be improved remarkably, and enables the hyperspectral images to be classified reliably aiming at the application scenes of different real-time response and high-precision demands.

Description

technical field [0001] The invention relates to the field of hyperspectral image processing, in particular to an improved hyperspectral image denoising method. Background technique [0002] In recent years, hyperspectral images have received more and more attention because of their rich spectral information and spatial information that can identify ground objects. And it has been widely used in archaeological discovery, geological exploration, deep forest fire detection, atmospheric monitoring, military operations and other fields and has produced far-reaching influence. However, in the process of acquisition and transmission of hyperspectral images, they are often polluted by various types of noise, which greatly reduces the reliability of the data, and also has a serious impact on subsequent unmixing, segmentation and target detection. . Therefore, it is very necessary to study hyperspectral image denoising technology in its application. [0003] The current hyperspectr...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/002G06T2207/20182
Inventor 杨明俞珍秒
Owner NANJING NORMAL UNIVERSITY
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