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

Detection method for on-water bridge target in remote sensing image

A technology for target detection and remote sensing images, which is applied to instruments, character and pattern recognition, computer parts, etc. It can solve the problems of high computational complexity and reduce computational complexity, and achieve the effect of low complexity and simple and fast implementation process.

Inactive Publication Date: 2009-05-13
XIDIAN UNIV
View PDF0 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the problem of high computational complexity of the above-mentioned existing line detection methods, and provide a method for detecting bridge targets on water in remote sensing images that does not require complex preprocessing of images and has no restrictions on the shape and size of bridges in the detection process. To avoid straight line detection and reduce computational complexity

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
  • Detection method for on-water bridge target in remote sensing image
  • Detection method for on-water bridge target in remote sensing image
  • Detection method for on-water bridge target in remote sensing image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Refer to attached figure 1 , the implementation steps of the present invention are as follows:

[0029] 1. Water division

[0030] The water area segmentation is carried out on the input image to be detected, the purpose is to obtain the complete connected water area in the image to be detected, which is specifically divided into the following steps:

[0031] 1.1) Training Waters Classifier

[0032] In order to maximize the constant false alarm detection of water areas and avoid repeated modeling of different images, through the structural analysis of water areas, five features are extracted to represent water areas, and sub-images H of water areas and non-water areas are taken in remote sensing image I, respectively. calculate:

[0033] a. The ratio of the mean value of the sub-image gray level to the mean value of the whole image gray level x 1 =E(H) / E(I);

[0034] b. The ratio of the mean value of the gray level of the sub-image to the maximum value of the gray ...

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 over-water bridges from remote sensing images, belongs to the technical field of image processing, and mainly solves the problem of the limited application range of the prior art. The method comprises the following steps: separating a complete communicated water area from the remote sensing image; performing image enhancement on the obtained water area based on directional filtering, and calculating directions of all pixels in the water area; designing corresponding templates according to characteristics and directions of different bridges, extracting features based on the templates, selecting a plurality of remote sensing images to acquire a bridge classifier based on the remote sensing images by a training modeling method, and acquiring an initial bridge detection result by the bridge classifier after performing template matching and feature extraction on the images to be detected; and eliminating noise from the initial detection result to acquire the final result of the bridge detection. The method has the advantage of good detection performance without complicated preprocessing of images, and is applicable to accurate detection of the over-water bridge targets in the remote sensing images.

Description

technical field [0001] The invention belongs to the field of computer vision and pattern recognition, and relates to a method for detecting bridges from remote sensing images, that is, using a computer as a means to detect bridges over water from complex remote sensing images and precisely locate them. Background technique [0002] Automatic recognition of artificial objects in natural scenes has always been a very meaningful but difficult task. The bridge target is a typical man-made target, and the research on its automatic recognition through computer vision technology has great significance in both military and civilian use. At present, there is no effective and widely applicable method for bridge identification. Judging from the existing research results, it is mainly aimed at the recognition of bridge targets in infrared near (far) distance side-shot images and high-altitude side-shot aerial photos. Overseas Baker DC, Hwang SS and Aggarwal JK et al. conducted researc...

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): G06K9/62G06K9/46
Inventor 钟桦焦李成贾晓润刘芳侯彪公茂果王爽马文萍
Owner XIDIAN 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