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

Hyperspectral image classification method, device and equipment and storage medium

A technology of hyperspectral images and classification methods, applied in the fields of equipment and storage media, hyperspectral image classification methods, and devices, can solve problems such as accurate classification of hyperspectral images that cannot be in high-dimensional space, and achieve the effect of accurate classification

Pending Publication Date: 2020-06-05
WUHAN POLYTECHNIC UNIVERSITY
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a hyperspectral image classification method, device, equipment and storage medium, aiming to solve the technical problem that the prior art cannot accurately classify hyperspectral images in high-dimensional space

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 image classification method, device and equipment and storage medium
  • Hyperspectral image classification method, device and equipment and storage medium
  • Hyperspectral image classification method, device and equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0047] Reference figure 1 , figure 1 It is a schematic structural diagram of a hyperspectral image classification device in a hardware operating environment involved in a solution of an embodiment of the present invention.

[0048] Such as figure 1 As shown, the hyperspectral image classification device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to implement connection and communication between these components. The user interface 1003 may include a display screen (Display) and an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 10...

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 hyperspectral image classification method, device and equipment and a storage medium, and belongs to the technical field of hyperspectral image processing. According to the invention, the method comprises the steps: acquiring a hyperspectral image; performing space conversion on the hyperspectral image through a convolutional neural network; obtaining convolutional images, and segmenting the convolution image; obtaining a plurality of segmented image segments; performing convolution operation on each image segment to obtain a convolution segment, connecting the convolution segments to obtain a target convolution segment, inputting the target convolution segment to a full connection layer in the convolutional neural network, and acquiring a picture classification result output by the full connection layer so that accurate classification of the high-dimensional hyperspectral image can be realized.

Description

Technical field [0001] The invention relates to the technical field of hyperspectral image processing, in particular to a hyperspectral image classification method, device, equipment and storage medium. Background technique [0002] Spectral images with a spectral resolution within the order of 10l are called hyperspectral images. Hyperspectral image classification is widely used in remote sensing applications. Hyperspectral images can distinguish a large number of materials with spectra, and all objects have spectral characteristics. , The classification of hyperspectral images can be used in agricultural remote sensing, cartography, environmental monitoring, cancer detection, and vegetation investigation for ground object identification. With the development of society, more and more hyperspectral remote sensing instruments appear. With the improvement of the time resolution of remote sensing instruments, the amount of high-dimensional spectral data is also increasing. However,...

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): G06K9/62G06K9/00
CPCG06V20/194G06V20/13G06F18/213G06F18/2163G06F18/24
Inventor 袁操洪娟李雅琴
Owner WUHAN POLYTECHNIC 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