Hyperspectral anomaly detection method and apparatus

An anomaly detection and hyperspectral technology, applied in the field of remote sensing, can solve problems such as low efficiency, difficulty in meeting the needs of real-time or quasi-real-time processing of hyperspectral data, and complex data processing processes

Active Publication Date: 2017-02-01
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, there are many bands of hyperspectral images, and when detecting anomalies, the entire image is generally processed once and for all after receiving all hyperspectral image data, so the data processing process is complicated and inefficient, and it is difficult to meet the needs of special industries. Demand for real-time or quasi-real-time processing of hyperspectral data

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 anomaly detection method and apparatus
  • Hyperspectral anomaly detection method and apparatus
  • Hyperspectral anomaly detection method and apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present disclosure.

[0052] The present invention provides a hyperspectral anomaly detection method, such as figure 1 As shown, the method includes:

[0053] S101. Obtain hyperspectral data of the target object line by line;

[0054] In specific implementation, a line-scanning imaging spectrometer can be used for progressive scanning, and the so-called line-scanning imaging spectrometer can be a ground-based imaging spectrometer, an airborne imaging spectrometer, ...

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 relates to a hyperspectral anomaly detection method and apparatus. The method comprises the steps of obtaining hyperspectral data of an object row by row; calculating a minimum row number k of the hyperspectral data required for determining background information; if a row mark number of a current row of the obtained hyperspectral data is greater than k, calculating an autocorrelation matrix of the current row of the hyperspectral data, taking the autocorrelation matrix as a first autocorrelation matrix, and taking a background autocorrelation matrix of all rows of the hyperspectral data before the current row as a second autocorrelation matrix; calculating a background autocorrelation matrix of the current row of the hyperspectral data and all the rows of the hyperspectral data obtained before the current row of the hyperspectral data; performing compression processing on the background autocorrelation matrix to obtain a compressed matrix; and performing anomaly detection on the current row of the hyperspectral data by utilizing the compressed matrix. According to the method and the apparatus, the anomaly detection is carried out row by row, so that the processing efficiency is improved, and the demands of special industries on real-time or quasi real-time processing of the hyperspectral data can be met.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a hyperspectral anomaly detection method and device. Background technique [0002] At present, hyperspectral image data has the characteristics of map-spectrum integration, that is, the spatial information and spectral information of the target can be observed at the same time, which provides an effective remote sensing technology for target classification and recognition. [0003] However, there are many bands of hyperspectral images, and when detecting anomalies, the entire image is generally processed once and for all after receiving all hyperspectral image data, so the data processing process is complicated and inefficient, and it is difficult to meet the needs of special industries. The need for real-time or quasi-real-time processing of hyperspectral data. Contents of the invention [0004] In view of the above defects, the present invention provides a 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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/70
CPCG06T2207/10032G06T2207/30181
Inventor 张立福孙雪剑岑奕彭波吴太夏张鹏
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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