Unlock instant, AI-driven research and patent intelligence for your innovation.

Oil tank target detection method based on color Markov chain significance model

A Markov chain, target detection technology, applied in image data processing, instruments, calculations, etc., can solve the problems of large false detection results, inability to accurately judge circular buildings, poor detection effect, etc., and achieve strong robustness. sexual effect

Active Publication Date: 2019-08-06
BEIHANG UNIV
View PDF18 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the algorithm cannot make more accurate judgments on round-like buildings, there will be a large number of false detection results, and the detection effect is poor.

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
  • Oil tank target detection method based on color Markov chain significance model
  • Oil tank target detection method based on color Markov chain significance model
  • Oil tank target detection method based on color Markov chain significance model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] See attached figure 1 , aiming at the difficult problem of oil tank target detection in remote sensing images, the present invention proposes an unsupervised saliency detection model based on color Markov chain, which builds color Markov chain and color and position matrix, and fuses Generate a saliency model that can effectively reduce the impact of shadows, imaging angles, and non-oil tank circular areas on oil tank detection.

[0040] Different from...

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 oil tank target detection method based on a color Markov chain significance model. An unsupervised saliency model containing a color Markov chain is used; an oil depot areaand a background area are distinguished by generating a potential saliency map from bottom to top, the influence of shadows and imaging angles on oil tank detection can be effectively reduced by combining colors and a position matrix, and finally the influence of the background area on an oil tank target is weakened by fusing position and shape information of an oil tank. Through the detection method of the oil tank target, the oil tank target in the remote sensing image under different illumination conditions and target sizes can be detected very accurately, and the method has relatively highrobustness.

Description

technical field [0001] The invention relates to the fields of digital image processing technology and computer vision, and more specifically relates to an oil tank target detection method based on a color Markov chain saliency model. Background technique [0002] An oil tank is a place where petroleum and fossil fuels are stored. It is usually round in shape and painted white or other light colors to reflect sunlight as much as possible, reduce heat absorption, and prevent oil tanks from being damaged by long-term exposure. May explode in sunlight. The arrangement of oil tanks is relatively random, and the edges are blurred, and the gray scale of the surface is not uniform. Due to factors such as light, imaging quality, structure and position, and the angle between the satellite and the ground, the oil tank may have a certain degree of geometric deformation on the imaging surface. This series of complicated situations brings great difficulties to the detection and identifi...

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): G06T7/194G06T5/00G06T7/12G06T7/66
CPCG06T7/194G06T7/12G06T7/66G06T2207/10032G06T5/90G06T5/70
Inventor 赵丹培刘子铭姜志国史振威张浩鹏
Owner BEIHANG UNIV