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

Remote sensing image semantic segmentation method, device and storage medium

A remote sensing image and semantic segmentation technology, applied in the field of remote sensing image processing, can solve the problem of low accuracy of remote sensing image semantic segmentation

Active Publication Date: 2022-05-27
NEW H3C BIG DATA TECH CO LTD
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] In view of this, the present disclosure provides a remote sensing image semantic segmentation method, device and storage medium for solving the technical problem of low accuracy of remote sensing image semantic segmentation

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
  • Remote sensing image semantic segmentation method, device and storage medium
  • Remote sensing image semantic segmentation method, device and storage medium
  • Remote sensing image semantic segmentation method, device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments, rather than limiting the embodiments of the present disclosure. As used in the embodiments of the present disclosure, the singular forms "a," "the," and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. As used in this disclosure, the term "and / or" is meant to include any and all possible combinations of one or more of the associated listed items.

[0068] It should be understood that although the terms first, second, third, etc. may be used in embodiments of the present disclosure to describe various pieces of information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the embodiments of the present disclosure, the first information may also be referred to...

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 present disclosure provides a remote sensing image semantic segmentation method, device and storage medium, which are used to solve the technical problem of low accuracy of remote sensing image semantic segmentation. The device provided by the present disclosure includes a preprocessing module and a codec convolutional neural network. The input of the codec convolutional neural network model not only contains the existing data channels, but also includes a variety of normalization indices, which enhance the segmentation effect on specific categories. In the encoding path and decoding path of the model, multiple sets of mixed extraction modules including multi-scale convolution modules are used to obtain the feature information of different receptive fields, thereby enhancing the segmentation effect on difficult points such as the same object with different spectra and the same spectrum with different objects. The inter-channel attention mechanism is also adopted in the hybrid extraction module to enhance the feature fusion between feature channels and further enhance the feature extraction ability. The disclosure improves the accuracy of semantic segmentation of remote sensing images, and can be applied to various fields of semantic segmentation of remote sensing images.

Description

technical field [0001] The present disclosure relates to the technical field of remote sensing image processing, and in particular, to a method, device and storage medium for semantic segmentation of remote sensing images. Background technique [0002] Remote sensing images refer to photos that record the magnitude of electromagnetic waves of various ground objects, and are mainly divided into aerial photos and satellite photos. The most widely used remote sensing images currently come from multi-band remote sensing, that is, the continuous electromagnetic spectrum with a wide range of ground radiation is divided into several narrower bands, and the same target can be obtained at the same time by means of multi-band photography or multi-channel scanning. Remote Sensing Technology for Spectral Information in Different Bands. [0003] At present, the commonly used hyperspectral remote sensing image data can be divided into 4-band, 6-band, 7-band and other types according to t...

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 Patents(China)
IPC IPC(8): G06T7/10G06V10/40G06K9/62G06V10/774G06V10/80
CPCG06T7/10G06T2207/10032G06V10/40G06F18/253G06F18/214
Inventor 吴若昊
Owner NEW H3C BIG DATA TECH CO LTD
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