Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF3 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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 denoising method, which significantly improves the effect of denoising, and can aim at real-time response and high precision Reliable hyperspectral image classification for application scenarios with different requirements

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Improved hyperspectral image denoising method
  • Improved hyperspectral image denoising method
  • Improved hyperspectral image denoising method

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06T5/00
CPCG06T2207/20182G06T5/70
Inventor 杨明俞珍秒
Owner NANJING NORMAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com