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

A layered denoising method for weak signals in synchronous satellite mountain fire monitoring

A technology for synchronous satellites and weak signals, applied in image data processing, instruments, calculations, etc., can solve problems such as unsatisfactory effects and inability to express the time-frequency localization characteristics of signals at the same time, and achieve the effect of improving the signal-to-noise ratio

Active Publication Date: 2016-03-23
湖南防灾科技有限公司 +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The Fourier transform algorithm has contradictions in noise reduction and edge preservation, and it cannot express the time-frequency localization characteristics of the signal at the same time. Although the wavelet decomposition method has time-frequency localization analysis characteristics, it is not effective when processing image data containing impulse noise. not ideal

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
  • A layered denoising method for weak signals in synchronous satellite mountain fire monitoring
  • A layered denoising method for weak signals in synchronous satellite mountain fire monitoring
  • A layered denoising method for weak signals in synchronous satellite mountain fire monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Attached below figure 1 The present invention is described in further detail. The present invention is a layered and denoising method for synchronous satellite mountain fire monitoring of weak signals, and the specific implementation steps are:

[0029] The first step is to receive the original image signal and express it as a two-dimensional digital matrix, which is recorded as f(i,j), i,j∈[1,N].

[0030] In the second step, the signal profile is extracted through the Roberts edge test operator. The Roberts operator realizes edge detection by calculating the approximate gradient magnitude between two adjacent signal points in the diagonal direction. For each pixel of the digital image f(i,j), calculate its gradient value:

[0031] G ( i , j ) = [ ▿ x ...

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 synchronous satellite forest fire monitoring weak signal layered denoising method, which belongs to the field of synchronous satellite digital signal processing. The method comprises steps: (1) a satellite signal is read in a two-dimensional digital matrix; (2) a Roberts operator is used for extracting a main body contour of the signal; (3) salt and pepper noise is eliminated through adaptive spatial filtering; (4) Gaussian noise is eliminated through wavelet decomposition and reconstruction; and (5) signal synthesis is carried out, and a satellite signal after denoising is outputted. Through a theoretical model and actual satellite data test, the denoising effects are obvious, and the method is strongly targeted.

Description

technical field [0001] The invention belongs to the technical field of disaster prevention and reduction in electric power systems, and in particular relates to a layered denoising method for weak signals of synchronous satellite mountain fire monitoring. Background technique [0002] Wildfire disasters seriously threaten the safe and stable operation of power grids. The synchronous satellite mountain fire monitoring satellite has a high orbit, and the transmission power of the active communication method is limited, the signal is easy to attenuate, and the noise has a large impact, which seriously affects the accuracy of mountain fire identification. The ground receiving device needs to perform weak signal denoising processing before identifying the fire point. Weak signal noise in wildfire monitoring mainly includes Gaussian noise, Poisson noise, salt and pepper noise, speckle noise and other types. The effective power of noise is large and the spectrum distribution is w...

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 Patents(China)
IPC IPC(8): G06T5/00
Inventor 陆佳政杨胜杰方针李波张红先蒋正龙赵纯
Owner 湖南防灾科技有限公司
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com