Hyperspectral curve matching method based on absorption peak characteristic

A matching method and absorption peak technology, applied in the field of hyperspectral curve matching, can solve the problems of large spectral matching error and different number of absorption peaks, etc.

Active Publication Date: 2016-04-27
奥谱天成(厦门)光电有限公司
View PDF4 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem of large spectral matching error due to the different number of absorption peaks when applying the traditional hyperspectral-based object recognition method, the present invention provides a selection method based on hyperspectral absorption peak features, according to the selected Spectral curve matching of the final absorption peak characteristics

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
  • Hyperspectral curve matching method based on absorption peak characteristic
  • Hyperspectral curve matching method based on absorption peak characteristic
  • Hyperspectral curve matching method based on absorption peak characteristic

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In this scheme, the first step is to eliminate the envelope of the spectral reflectance curve. After extracting a certain pixel spectral curve of the substance to be identified from the hyperspectral data, normalization and envelope elimination are performed. Since the noise phenomenon in the original signal is relatively obvious, it will cause fluctuations in the spectral reflection curve, and adversely affect the extraction of spectral characteristic parameters and subsequent identification. Therefore, it is necessary to perform noise reduction processing, and the wavelet noise reduction method is used here.

[0045] The spectral curve of ground features in hyperspectral remote sensing reflects the absorption and reflection characteristics of ground features. Different ground features have different spectral absorption characteristics. Therefore, in the research of hyperspectral remote sensing to identify various ground object components and map, its important task i...

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

The present invention provides a hyperspectral curve matching method based on an absorption peak characteristic. Firstly, a hyperspectral curve is subjected to enveloping line elimination and a spectral characteristic parameter matrix is extracted, then the matching vector of an absorption peak is searched one by one according to the cosine distance-Euclidean distance between a standard characteristic parameter matrix and each vector of a characteristic parameter matrix to be measured, and then the spectral matching is carried out according to a selected absorption peak characteristic parameter matrix. According to the method, an optimal characteristic parameter vector can be searched, thus the selection of the absorption peak is realized, and after the characteristic parameter matrix of the selected absorption peak is used to carry out hyperspectral matching, the a matched error is reduced to a certain extent.

Description

technical field [0001] The invention relates to a hyperspectral curve matching method based on absorption peak characteristics. Background technique [0002] When identifying substances based on hyperspectral curves, the same substance often appears, but the extracted spectral curves will be different, mainly due to the different number of absorption peaks. If the traditional matching method is used without pre-processing, the matching error will be relatively large, and even wrong matching will occur. [0003] On the basis of not affecting the accuracy of the matching results, how to select the absorption peak of the spectral curve and find the absorption peak with the highest matching degree is a way to solve this problem. [0004] The absorption peak is the performance of the essential characteristics of the substance. Generally speaking, different substances have different numbers of absorption peaks, and the spectral absorption index (Spectralabsorption index, SAI) su...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/194G06V20/13G06V10/58G06V10/40
Inventor 郭宝峰石俊峰沈宏海杨名宇
Owner 奥谱天成(厦门)光电有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap