Building extraction method based on prior shape level set segmentation

A level set segmentation and extraction method technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as inability to obtain continuous edges or line segments, increased calculation amount, and wrong detection results

Inactive Publication Date: 2014-08-06
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
View PDF3 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This type of method currently achieves good results in detecting regular houses and rural images with low house density and simple structure, but for general images, there are still many problems: (1) Due to the influence of factors such as noise, shadows and occlusions, It is often impossible t

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
  • Building extraction method based on prior shape level set segmentation
  • Building extraction method based on prior shape level set segmentation
  • Building extraction method based on prior shape level set segmentation

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0078] Below, combine Figure 1-Figure 11 To further elaborate the method of the present invention:

[0079] The example data is selected from the aerial RGB color image of Hunchun City, Jilin Province and the corresponding elevation image taken by a drone on August 10, 2008, such as figure 2 As shown, a single-lens reflex camera Cannon5D is selected as the shooting camera to describe the specific implementation of the present invention.

[0080] Step S1 extracting buildings from the elevation image;

[0081] This step is mainly based on the idea of ​​regularized DSM, using a multi-scale morphological filtering method to distinguish terrain elements from non-terrain elements, and then removing non-building elements from non-terrain elements through a small area removal method, and finally obtaining buildings Extract the results. The specific process is as follows:

[0082] (S11) Perform a slope-based multi-scale morphological filtering operation on the elevation image. First, perf...

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 building extraction method based on prior shape level set segmentation in order to overcome the shortcomings that the conventional building extraction technology is sensitive to noise and low in extraction precision, and depends on a segmentation result. According to the basic idea of the building extraction method based on the prior shape level set segmentation, urban building extraction is carried out in two steps, wherein in the first step, a rough outline of a building in altitude data is extracted, and morphological filtering and small-region removal are performed on the altitude data to obtain a final building distribution binary graph, and in the second step, outline information of the building is extracted in an optical image of an unmanned aerial vehicle, the building distribution binary graph serving as prior information is introduced into a level set segmentation model, and an evolution initial position and a prior outline are supplied to the model, so that the segmentation result is a building outline information extraction result. The building extraction method has the advantages of high pertinence and high precision.

Description

technical field [0001] The invention belongs to the technical field of computer digital image processing and pattern recognition, and mainly relates to a method for identifying urban buildings, in particular to a method for extracting buildings based on remote sensing images of drones. Background technique [0002] The extraction of urban building outline information is not yet a good algorithm with a wide range of applications. Traditional engineering uses manual interpretation and manual sketching, which is low in efficiency and labor-intensive. Therefore, the automatic extraction technology of building outline information has become an important research topic in the field of target recognition. At present, the main methods for automatic extraction of building outline information are: [0003] 1. Building extraction technology based on geometric features [0004] The common ground based on geometric features is to use low-level visual technology to extract geometric ele...

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): G06T7/00G06T5/00
Inventor 陈建胜孟瑜赵忠明陈静波
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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