Remote sensing image semantic segmentation method and 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: 2021-06-18
NEW H3C BIG DATA TECH CO LTD
View PDF6 Cites 2 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

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] Terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments, not limiting the embodiments of the present disclosure. The singular forms "a", "said" and "the" used in the embodiments of the present disclosure are also intended to include the plural forms unless the context clearly indicates otherwise. As used in this disclosure, the term "and / or" is meant to encompass any and all possible combinations of one or more of the associated listed items.

[0068] It should be understood that although the embodiments of the present disclosure may use the terms first, second, third, etc. to describe various information, the information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of the embodiments of the present disclosure, first information may also be called second information, and similarly, sec...

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 provides a remote sensing image semantic segmentation method, a remote sensing image semantic segmentation device and a storage medium, which are used for solving the technical problem of low accuracy of remote sensing image semantic segmentation. The device provided by the invention comprises a preprocessing module and a coding and decoding convolutional neural network. The input of the coding and decoding convolutional neural network model not only comprises the existing data channel, but also comprises a plurality of normalized indexes, so that the segmentation effect on a specific category is enhanced. In the coding path and the decoding path of the model, a plurality of groups of mixed extraction modules comprising a multi-scale convolution module are adopted to obtain feature information of different receptive fields, so that the segmentation effect on difficult points such as the same object and different spectrums and the same spectrum and foreign matters is enhanced. In the hybrid extraction module, an attention mechanism between channels is also adopted to enhance feature fusion between feature channels, and the feature extraction capability is further enhanced. The accuracy of semantic segmentation of the remote sensing image is improved, and the method can be applied to the field of semantic segmentation of various remote sensing images.

Description

technical field [0001] The present disclosure relates to the technical field of remote sensing image processing, in particular to a remote sensing image semantic segmentation method, device and storage medium. Background technique [0002] Remote sensing images refer to photos that record the size of electromagnetic waves of various ground features, 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 is 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 the different imaging equipmen...

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): G06T7/10G06K9/46G06K9/62
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 Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products