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

Image detection method

An image detection and image technology, applied in the field of data processing, can solve the problems of low efficiency of remote sensing images, achieve the effect of improving the efficiency of change detection and solving low efficiency

Pending Publication Date: 2022-07-05
ALIBABA (CHINA) CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present application provides an image detection method to at least solve the technical problem of low efficiency in the change detection of remote sensing images in the related art

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
  • Image detection method
  • Image detection method
  • Image detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] According to an embodiment of the present application, an image detection method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings may be executed in a computer system such as a set of computer-executable instructions, and although the flowchart A logical order is shown, but in some cases steps shown or described may be performed in a different order than shown.

[0036] The method embodiment provided in the first embodiment of the present application may be executed in a mobile terminal, a computer terminal, a server, a cloud server, or a similar computing device. figure 1 A block diagram of the hardware structure of a computer terminal (or mobile device) for implementing the image detection method is shown. like figure 1As shown, the computer terminal 10 (or mobile device 10 ) may include one or more (shown as 102a, 102b, . processing means for programming logic devices FPGA, etc.), memory 104 for storing data, and tr...

Embodiment 2

[0121] According to an embodiment of the present application, an image detection method is also provided. It should be noted that the steps shown in the flowchart of the accompanying drawings may be executed in a computer system such as a set of computer-executable instructions, and although the flowchart A logical order is shown in the figures, but in some cases steps shown or described may be performed in an order different from that herein.

[0122] Figure 8 is a flowchart of another image detection method according to an embodiment of the present application, such as Figure 8 As shown, the method includes the following steps:

[0123] Step S802 , acquiring the first-phase building image and the second-phase building image, wherein the first-phase building image and the second-phase building image are images obtained by collecting the same target building at different times.

[0124] Step S804: Perform feature extraction on the first-phase building image and the second-...

Embodiment 3

[0142] According to an embodiment of the present application, an image detection method is also provided. It should be noted that the steps shown in the flowchart of the accompanying drawings may be executed in a computer system such as a set of computer-executable instructions, and although the flowchart A logical order is shown in the figures, but in some cases steps shown or described may be performed in an order different from that herein.

[0143] Figure 9 is a flowchart of another image detection method according to an embodiment of the present application, such as Figure 9 As shown, the method may include the following steps:

[0144] Step S902, the cloud server receives the remote sensing images of the first phase and the remote sensing images of the second phase uploaded by the client, wherein the remote sensing images of the first phase and the remote sensing images of the second phase are images obtained by collecting the same target area at different times.

[...

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 an image detection method. The method comprises the steps that a first-stage remote sensing image and a second-stage remote sensing image are acquired, and the first-stage remote sensing image and the second-stage remote sensing image are images acquired from the same target area at different times; performing feature extraction on the first-stage remote sensing image and the second-stage remote sensing image to obtain a first target feature corresponding to the first-stage remote sensing image and a second target feature corresponding to the second-stage remote sensing image; processing the features at the same position in the first target feature and the second target feature to obtain a target processing result; a target detection result of the target area is determined based on the target processing result, and the target detection result is used for representing whether the target area changes or not. The technical problem that the efficiency of change detection of the remote sensing image is low in the prior art is solved.

Description

technical field [0001] The present application relates to the field of data processing, in particular, to an image detection method. Background technique [0002] With the development of satellite and airborne sensors, remote sensing images have been widely used in urban planning and other aspects. Change detection algorithms based on deep learning are widely used in remote sensing image change detection tasks to predict the change area of ​​two images before and after input. However, due to the large amount of data in remote sensing images, it takes a long time to detect changes in remote sensing images using neural network models, resulting in low efficiency in detecting changes in remote sensing images. SUMMARY OF THE INVENTION [0003] The embodiments of the present application provide an image detection method, so as to at least solve the technical problem of low efficiency of change detection for remote sensing images in the related art. [0004] According to an as...

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): G06T7/00G06V10/40
CPCG06T7/0002G06T2207/10032G06T2207/20081
Inventor 张宇琪李威王耀华王志斌李昊
Owner ALIBABA (CHINA) 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