Method for detecting bridge from remote sense image

A technology for remote sensing images and bridges, which is used in measurement devices, re-radiation of electromagnetic waves, radio wave measurement systems, etc. Check and improve the effect of noise immunity

Inactive Publication Date: 2008-04-09
NORTHWESTERN POLYTECHNICAL UNIV
View PDF0 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the poor noise resistance of the prior art method and the limitation of the width of the bridge to be inspected, the present invention provides a method for detecting bridges from remote sensing images, using Beamlet transform to extract line information. Good noise performance; use the line feature information extracted by Beamlet transform for bridge detection, so there is no limit to the width of the bridge, and it is not easy to miss and false detection

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
  • Method for detecting bridge from remote sense image
  • Method for detecting bridge from remote sense image
  • Method for detecting bridge from remote sense image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] Referring to the attached figure, the river segmentation is performed first. Input a remote sensing image to roughly segment the river. The Daubechies3 wavelet is used to perform wavelet transformation on the 3×3 neighborhood of each pixel of the remote sensing image. Four wavelet sub-images are used, which are the three high-frequency images obtained from the first wavelet decomposition and the first wavelet decomposition. Low-frequency images, and then use the formula (1) to calculate the energy characteristics of each sub-image respectively, as the texture characteristics of the current central pixel.

[0017] e = 1 M * N Σ x , y = 0 M * N - 1 | ...

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 method for detecting bridge from remote sensing images. Considering the position relation between bridge and river, firstly, segment a river region using the two steps of coarse segmentation and fine segmentation according to the properties of the water area in the remote sensing image; next, execute a Beamlet transformation on the river region, and accurately detect and segment the bridge according to the properties of the bridge by using the obtained line characteristic information on the basis of the Beamlet transformation, and considering the long straight-line feature of the bridge, implement a post-processing on the obtained result to achieve the final result of bridge detection. Because the Beamlet transformation is used to extract the line characteristic information of the bridge to be detected, the anti-noise performance is enhanced by means of the anti-noise property of the Beamlet transformation; by using the extracted line characteristic information from the Beamlet transformation, the bridge is detected, and compared with the prior technique of using the method of searching bridge points, the invention has no limitation on the width of the bridge, the detection rate is beyond 86 percent, and missed detection and false detection are not easy to occur.

Description

technical field [0001] The invention relates to a method for detecting bridges from remote sensing images. Background technique [0002] Bridges are an important artificial target in remote sensing images. It is of great significance to automatically and quickly detect and segment bridges. The existing bridge automatic detection and recognition methods mainly include knowledge-based detection methods and template matching methods. The document "A Real-time Recognition Algorithm for Water Bridges in Aerial Images, Acta Electronics Sinica, 2007, Vol.35(3), p511-514" discloses an algorithm for recognizing bridges based on water domain segmentation. This method uses threshold segmentation and morphological processing to segment the river area, and then uses two steps of bridge target location and bridge target verification to detect bridges. In the stage of bridge target location, this method uses the position relationship of bridges and rivers to search for bridge points; in ...

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): G06K9/00G06K9/46G06K9/62G01S17/89
Inventor 张艳宁李映张利利王敏石慎孙瑾秋
Owner NORTHWESTERN POLYTECHNICAL 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