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

Remote sensing image roof contour extraction method based on building substrate vector

A remote sensing image and base vector technology, applied in the field of remote sensing image processing, can solve the problems of complex building extraction and change detection, affecting the accuracy and reliability of detection results, and achieve important market value, reduce production costs, and improve production efficiency. Effect

Active Publication Date: 2017-08-25
WUHAN UNIV +1
View PDF4 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods have great limitations, because factors such as building projection differences in high-resolution remote sensing images will cause large geometric displacements and shadow occlusion problems, making building extraction and change detection problems more complex, affecting detection results precision and reliability

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 roof contour extraction method based on building substrate vector
  • Remote sensing image roof contour extraction method based on building substrate vector
  • Remote sensing image roof contour extraction method based on building substrate vector

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0036] The present invention proposes to extract the roof outline of the remote sensing image by using the existing building base vector image spot. In the remote sensing image, there is a certain geometric displacement between the roof outline and the corresponding building base map spot due to factors such as building projection difference. The present invention proposes to use a contour constraint template corresponding to the contour polygon of the pattern to search within a preset projection difference range based on the building base pattern to obtain the roof contour of the remote sensing image.

[0037] Such as figure 1 As shown, a method for extracting roof outlines from remote sensing images based on building base vectors provided by the embodiment includes the following steps:

[0038] Step 1: Use the exis...

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 roof contour extraction method based on a building substrate vector. The method comprises steps that a contour polygon is acquired through utilizing existing building substrate vector spots; a contour constraint template of a to-be-matched building roof is generated according to the contour polygon; for a to-be-extracted remote sensing image, image characteristics consistent with building characteristics are selected; based on similarity measurement, the contour constraint template and the image characteristics are utilized to search an optimal matching position in a matching optimization method, and the building roof contour images are acquired. The method is advantaged in that the building substrate vector in the remote sensing image is matched with a contour of a roof image, the building roof in the remote sensing image can be automatically acquired, change of existing buildings can be further rapidly detected, and important meaning for developing dynamic monitoring on illegal buildings is realized.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a method for extracting roof outlines of remote sensing images based on building base vectors. Background technique [0002] As an important ground object, buildings are a research hotspot and difficulty in the field of photogrammetry and remote sensing for their automatic identification, location extraction and change detection. Among them, the high-resolution remote sensing image building change detection technology compares and analyzes two high-resolution remote sensing images to find out the change area of ​​the building. This technology is widely used in geospatial information services, and has important application value and commercial value in land cover change monitoring, environmental change dynamic monitoring, natural disaster monitoring, illegal building investigation and land resource investigation, etc. [0003] Generally speaking, the refle...

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): G06K9/00G06K9/46
CPCG06V20/176G06V10/443
Inventor 胡翔云宫金杞胡艳丁忆李朋龙张泽烈徐永书陈静刘金龙李莉
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