Object-level high-resolution remote sensing image change detection method based on multi-scale fusion

A multi-scale fusion and change detection technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as high registration accuracy requirements and the influence of noise.

Active Publication Date: 2014-03-12
HOHAI UNIV
View PDF2 Cites 37 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when counting the texture, gradient and other characteristics of the object, if the original feature vector of the object is directly used for calculation, the accuracy of registration is high, and it is easily affected by noise.

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
  • Object-level high-resolution remote sensing image change detection method based on multi-scale fusion
  • Object-level high-resolution remote sensing image change detection method based on multi-scale fusion
  • Object-level high-resolution remote sensing image change detection method based on multi-scale fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0050] The method mainly includes three parts: object extraction, object analysis and comparison, and multi-scale fusion.

[0051] object extraction

[0052] The purpose of object extraction is to extract regions belonging to the same ground object through segmentation, and the accuracy of object extraction directly affects the final detection result. Considering the transparency of the detection framework and the multi-scale characteristics of the JSEG algorithm, the JSEG segmentation method is ...

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 object-level high-resolution remote sensing image change detection method based on multi-scale fusion. A color texture segmentation algorithm JSEG is introduced to change detection and multi-scale feature extraction and analysis on an object is realized based on a J-image image sequence generated in the segmentation process of the JSEG algorithm. The algorithm makes comprehensive use of the shape, the size and the spectral and texture features of the object, introduces two different multi-scale fusion strategies based on a D-S evidence theory and weighted data fusion and further improves divisibility of changing categories and non-changing categories so as to construct a complete set of object-level change detection frames based on multi-scale fusion. The feasibility and effectiveness of the method are verified by respectively carrying out experiment on a high-resolution aerial remote sensing DOM image and an SPOT5 satellite remote sensing image and comparing detection effects of change detection methods of different object levels and pixel levels.

Description

technical field [0001] The invention relates to an object-level high-resolution remote sensing image change detection method based on multi-scale fusion, and belongs to the technical field of remote sensing image change detection. Background technique [0002] The change detection of multi-temporal remote sensing images is one of the hotspots in the field of remote sensing application at present. Its essence is the process of using multiple remote sensing images of different temporal phases in the same area to judge the change information of the ground features in the area. The application fields mainly include the dynamic development of the city, the update of the geospatial information database, etc. Among them, urban change detection, as a major application field of change detection, has played an important role in urban planning and management. [0003] In recent years, with the successful launch of high-resolution remote sensing satellites, meter-level and sub-meter-le...

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 Applications(China)
IPC IPC(8): G06T7/00G06T5/00
Inventor 王超徐立中石爱业王鑫高红民黄凤辰
Owner HOHAI UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap