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

Super-pixel level information fusion-based hyperspectral image classification method and system

A hyperspectral image, superpixel-level technology, applied in instrumentation, computing, character and pattern recognition, etc., can solve problems such as high computational complexity, low classification accuracy, and redundancy between bands

Active Publication Date: 2017-03-01
SHENZHEN UNIV
View PDF8 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is to provide a hyperspectral image classification method and system based on superpixel-level information fusion, aiming to solve the problem of high computational complexity, low classification accuracy and large gap between bands in existing classification methods. Redundancy problem

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
  • Super-pixel level information fusion-based hyperspectral image classification method and system
  • Super-pixel level information fusion-based hyperspectral image classification method and system
  • Super-pixel level information fusion-based hyperspectral image classification method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0074] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0075] The embodiment of the present invention provides a hyperspectral image classification method based on superpixel-level information fusion, such as figure 1 shown, including the following steps:

[0076] Step S101: generating several two-dimensional Gabor filters.

[0077] In the embodiment of the present invention, the following method is used to generate the Gabor filter, and the formula for generating the Gabor filter is:

[0078]

[0079] Among them, x'=xcosθ v +ysinθ v , y'=-xsinθ v +ycosθ v , a=0.9589f u , b=1.1866f u , f u Indicates the frequency of the Gabor filter, θ v 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 invention belongs to the image processing field and provides a super-pixel level information fusion-based hyperspectral image classification method and system. The objective of the invention is to solve the problems of high computational complexity, low classification accuracy and large inter-band redundancy of an existing classification method. The method includes the following steps of: filter generation; Gabor feature extraction; hyperspectral image super-pixel segmentation; super-pixel feature data calculation; super-pixel spatial coordinate calculation; data dimensionality reduction; hyperspectral feature data generation; and multitasking support vector machine classification.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a hyperspectral image classification method and system based on superpixel-level information fusion. Background technique [0002] The invention relates to a technique for classifying ground substances by using hyperspectral images. Hyperspectral images are multispectral image data acquired by remote sensing sensors from objects of interest on the ground in the visible, near-infrared, mid-infrared, and thermal infrared bands of the electromagnetic spectrum. The massive increase in spectral resolution and dimensionality of hyperspectral images has enabled more precise and fine-grained classification. However, there are two main difficulties in the study of hyperspectral characteristics and classification: one is that the high dimension makes it difficult to improve the accuracy of small sample classification, which is the so-called "curse of dimensionality" phenomenon;...

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): G06K9/62
CPCG06F18/2411G06F18/254G06V10/7715
Inventor 贾森邓彬邓琳
Owner SHENZHEN UNIV
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