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

Mineral type remote sensing recognition method based on multi-type spectral feature parameter collaboration

A technology of spectral characteristic parameters and remote sensing identification, applied in the direction of color/spectral characteristic measurement, etc., can solve the problems of difficulty in distinguishing different types of minerals, limit the application of hyperspectral remote sensing technology, etc., and achieve high overall mineral identification accuracy and high stability. sexual effect

Inactive Publication Date: 2016-05-25
SHANDONG UNIV OF SCI & TECH
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In areas with a single mineral type, this method can show high accuracy, but in areas with complex mineral types, since the spectral characteristics of minerals are mainly concentrated in the very narrow wavelength region of short-wave infrared, it is difficult to use a single spectral characteristic parameter Differentiate between different types of minerals
Therefore, the limitations of current technical methods limit the application of hyperspectral remote sensing technology in mineral type identification

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
  • Mineral type remote sensing recognition method based on multi-type spectral feature parameter collaboration
  • Mineral type remote sensing recognition method based on multi-type spectral feature parameter collaboration
  • Mineral type remote sensing recognition method based on multi-type spectral feature parameter collaboration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The present invention is described in further detail below in conjunction with the accompanying drawings and specific embodiments:

[0026] like figure 1 As shown in the figure, the mineral type remote sensing identification method based on the synergy of multi-type spectral feature parameters includes the following steps:

[0027] a Hyperspectral data preprocessing

[0028] In order to accurately obtain the real surface reflectance information of ground objects, spectral reconstruction of hyperspectral data is required. Spectral reconstruction includes bad line repair, absolute radiance value conversion, atmospheric correction, streak removal and spectral smoothing.

[0029] Only atmospheric correction processing is required for AVIRIS data.

[0030] For Hyperion hyperspectral data, there are the following problems:

[0031] 1. Due to the problem of sensor radiation calibration, there are abnormal strip data in the data, among which, the row or column with no data ...

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 invention discloses a mineral type remote sensing recognition method based on multi-type spectral feature parameter collaboration. The method includes the steps of: a. conducting spectral re-building on hyperspectral data; b. for different hyperspectral data, conducting spectrum resampling on typical mineral spectral data according to different sampling intervals; c. firstly conducting envelope removal treatment on hyperspectral data and a typical mineral spectrum, and then extracting multi-type spectral feature parameters respectively; d. calculating the information amount of different spectral feature parameter combinations through an optimum index factor, determining an optimum spectral feature parameter combination, and conducting mineral mapping experiment based on pattern recognition method; and e. firstly carrying out statistical analysis on the multi-type spectral feature parameters of the typical mineral spectrum, then referring to spectral feature parameter values corresponding to mineral end members in the hyperspectral data, constructing a research area mineral type recognition decision tree model, and conducting mineral mapping experiment. The mineral type remote sensing recognition method provided by the invention has high integral mineral recognition precision.

Description

technical field [0001] The invention relates to a mineral type remote sensing identification method based on the coordination of multi-type spectral characteristic parameters, which is suitable for the field of regional mineral mapping of various hyperspectral data. Background technique [0002] Because hyperspectral remote sensing data has the characteristics of continuous band and high spectral resolution, it can play an important role in the identification of mineral types, and has been gradually and widely used in local area mineral mapping and other work. The use of remote sensing means can realize the rapid identification and extraction of mineral information from a wide-area space and a multi-temporal scale, shorten the time of mineral mapping, and improve the efficiency. However, due to the limitation of complex surface structure, mixed pixels and atmospheric environment background, the accuracy of mineral identification using remote sensing technology is not high. ...

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): G01N21/25
Inventor 明艳芳韦晶贾臣米雪婷田信鹏
Owner SHANDONG UNIV OF SCI & TECH
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