Patent · US Active

Method for classifying hyperspectral images on basis of adaptive multi-scale feature extraction model

US11783569B2 · kind B2 · utility

0Cited by

0References

9Claims

0Family size

Assignee

Wuhan University · CN

Inventors

Bo Du · Nanhu, CN
Jiaqi Yang · Shanghai, CN
Liangpei Zhang · Hubei, CN
Chen Wu · Hubei, CN

Key dates

Filing date	Apr 18, 2023
Grant date	Oct 10, 2023
Priority date	—
Expiry date	Apr 18, 2043

Classification

Technology area (CPC Y)Emerging Cross-Sectional Technologies
CPC primaryY02A40/10
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Disclosed is a method for classifying hyperspectral images on the basis of an adaptive multi-scale feature extraction model, the method comprising: establishing a framework comprising the two parts of a scale reference network and a feature extraction network, introducing a condition gate mechanism into the scale reference network, performing determination step-by-step by means of three groups of modules, inputting features into a corresponding scale extraction network, deep mining rich information contained in a hyperspectral remote sensing image, effectively combining features of different scales, improving a classification effect, and generating a fine classification result map.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.