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

Change Detection Method of Remote Sensing Image Based on Slow Feature Analysis

A technology for remote sensing image and change detection, which is applied in the field of remote sensing image processing and can solve problems such as single situation

Active Publication Date: 2016-08-17
WUHAN UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For multi-temporal remote sensing images, there are many types of changes in the changed pixels, so the differences of the changed pixels are various, while the differences of the unchanged pixels only include the spectral difference caused by the change of external conditions, and the situation is relatively simple

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
  • Change Detection Method of Remote Sensing Image Based on Slow Feature Analysis
  • Change Detection Method of Remote Sensing Image Based on Slow Feature Analysis
  • Change Detection Method of Remote Sensing Image Based on Slow Feature Analysis

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0101] Multiply the ordered eigenvector matrix by the standardized multi-temporal remote sensing images X and Y respectively, and subtract the corresponding elements of the multi-temporal remote sensing images X and Y to obtain the characteristic difference matrix SFA of the multi-temporal remote sensing images X and Y, namely , the feature difference image. The characteristic difference matrix SFA is composed of the characteristic difference SFA of each band j Formed matrix vector, characteristic difference SFA j is calculated as follows:

[0102] SFA j = w j x ^ - w j y ^ - - - ( 7 )

[0103] In formula (7), SFA j Indicates the characteristic difference of the jth band; w j is the jth eigenvector...

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 remote sensing image change detection method based on slow feature analysis. The invention introduces the slow feature analysis method into the change detection of multi-temporal remote sensing images, and the slow feature analysis method fully considers the spatial correspondence between the multi-temporal remote sensing images. The original theory for continuous signal analysis was developed into a change detection algorithm based on discrete data sets. The slow feature analysis method can extract the invariant features in the multi-temporal remote sensing image data set as the feature space. In this feature space, the spectral differences between the multi-temporal remote sensing images are suppressed and the real changes are highlighted, thereby improving the change detection accuracy. . At the same time, the slow feature analysis method is simple to implement and fast in operation.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, in particular to a remote sensing image change detection method based on slow feature analysis. Background technique [0002] Human activities have had a huge impact on the earth's surface environment, which is reflected in various aspects such as environmental changes and urban development. Therefore, obtaining real-time and accurate changes in the earth's surface cover is of great significance for environmental monitoring and resource management (Lu, D., P. Mausel, E. Brondizio and E. Moran (2004). "Change detection techniques."International Journal of Remote Sensing 25(12):2365-2401.). [0003] Change detection refers to the determination of surface changes by observing the distribution of ground objects in the same area at different times (Singh, A. (1989). "Review Article Digital change detection techniques using remotely-sensed data." International Journal of Remote...

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): G06K9/46
Inventor 武辰杜博张良培
Owner WUHAN UNIV
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