Hyperspectral image classification method and system based on lightweight neural architecture search

A hyperspectral image and classification method technology, applied in the field of image information processing, can solve problems such as difficult to design model structure, difficult to further improve classification accuracy, and limited subjective cognition of convolutional neural network, so as to achieve low storage cost and good performance , to avoid the effect of limitations

Pending Publication Date: 2021-12-10
XIDIAN UNIV
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a hyperspectral image classification method and system based on lightweight neural architecture search to solve the problem of manual desig

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 and system based on lightweight neural architecture search
  • Hyperspectral image classification method and system based on lightweight neural architecture search
  • Hyperspectral image classification method and system based on lightweight neural architecture search

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0062] In the description of the present invention, it should be understood that the terms "comprising" and "comprising" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or more other features, Presence or addition of wholes, steps, operations, elements, components and / or collections thereof.

[0063] It should also be understood that the terminology used in the descriptio...

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 and system based on lightweight neural architecture search. A hypernetwork is built through modular lightweight candidate operations, the serialization of the discrete candidate operations is carried out on the edge through a weighted mixing operation,double-layer optimization of the hypernetwork is carried out in a gradient optimization mode, and meanwhile, the model search speed is increased through subnet weight sharing. Then, in the optimization process, a greedy decision is utilized to select an undispersed edge, an operation with the maximum framework parameter on the edge is reserved, other operations in the edge are deleted, the remaining network forms a new super-network, the new super-network is iteratively optimized in the mode, the super-network is continuously simplified along with continuous dispersion of the edge and deletion of the operations on the edge, and finally a lightweight deep neural network architecture for hyperspectral image classification is obtained. The lightweight module is fully utilized to construct the super network, the neural architecture search method based on sequential greedy is realized, and the network architecture with less parameter quantity and higher classification precision can be automatically generated.

Description

technical field [0001] The invention belongs to the technical field of image information processing, and in particular relates to a hyperspectral image classification method and system based on lightweight neural architecture search. Background technique [0002] Hyperspectral remote sensing images are digital images captured by hyperspectral imagers in hundreds of continuous narrow spectral bands from visible light to infrared bands to generate three-dimensional hyperspectral images containing spectral and spatial information. The spatial and spectral information of hyperspectral images is very rich. Compared with ordinary images, it has more bands and extremely high resolution. At present, the application of hyperspectral remote sensing to earth observation technology is very common, and it has been widely used in geological mapping and exploration, atmospheric or vegetation ecological monitoring, product quality inspection, precision agriculture, urban remote sensing and ...

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
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/047G06N3/045G06F18/241G06F18/2415G06F18/253
Inventor 王佳宁胡金雨刘一琛黄润虎郭思颖李林昊杨攀泉焦李成刘芳
Owner XIDIAN UNIV
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