Tropical cyclone intensity objective monitoring method based on long-/short-term memory network model

A long-short-term memory, tropical cyclone technology, applied in biological neural network models, neural learning methods, character and pattern recognition, etc., can solve problems such as limited improvement space, and achieve the effect of reducing subjectivity, improving accuracy, and reducing dependence

Pending Publication Date: 2020-09-22
NAT UNIV OF DEFENSE TECH
View PDF6 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is a complex and highly nonlinear relationship between the maximum wind speed of the system and related physical factors, and 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
  • Tropical cyclone intensity objective monitoring method based on long-/short-term memory network model
  • Tropical cyclone intensity objective monitoring method based on long-/short-term memory network model
  • Tropical cyclone intensity objective monitoring method based on long-/short-term memory network model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] In order to better understand the technical content of the present invention, the specific embodiments are specifically cited and described as follows in conjunction with the accompanying drawings:

[0040] The idea of ​​this technical solution is to use the Deviation Angle Variance Technique (DAV-T) to extract the shape and structure information of tropical cyclones from the observation data of Fengyun series stationary satellites, based on the Long Short-term Memory networks (Long Short-term Memory networks, LSTM) for objective monitoring of tropical cyclone intensity. This program can effectively use the high temporal and spatial resolution information of satellite cloud images and the evolution characteristics of the system time series, and effectively provide the objectivity and accuracy of tropical cyclone intensity monitoring.

[0041] combine figure 1 , the method of this embodiment includes:

[0042] Step 1. Perform Gaussian filter processing on the infrared...

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 tropical cyclone intensity objective monitoring method based on a long-/short-term memory network model. The tropical cyclone intensity objective monitoring method comprises the following steps: (1) processing an infrared satellite cloud picture; (2) extracting brightness temperature characteristic parameters of tropical cyclones from the infrared satellite cloud picture processed in the step (1); (3) extracting morphological characteristic parameters of tropical cyclones from the infrared satellite cloud picture processed in the step (1); and (4) monitoring the tropical cyclone intensity based on a long-/short-term memory LSTM model according to the brightness temperature characteristic parameters and the morphological characteristic parameters in the steps (2) and (3). According to the monitoring method, the dependence on the experience of an operator in the tropical cyclone intensity determination process can be reduced, the subjectivity in the analysis process is reduced, and the tropical cyclone intensity determination precision is remarkably improved.

Description

technical field [0001] The present invention relates to the technical field of tropical cyclone intensity monitoring and early warning, in particular to a method of extracting tropical cyclone form and tropical cyclone structure information from Fengyun series stationary satellite observation data using Deviation Angle Variance Technique (DAV-T), And based on the Long Short-term Memory network (Long Short-term Memorynetworks, LSTM), the method of objectively monitoring the intensity of tropical cyclones. Background technique [0002] Tropical cyclones are one of the major disastrous weather systems affecting human activities. The system manifests itself as a deep low-pressure vortex system accompanied by disastrous weather such as strong winds, heavy rains, and storm surges. It is mainly formed and developed on the sea surface, and some systems will move into offshore and inland areas, affecting coastal areas of various countries. [0003] Tropical cyclone intensity is expr...

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): G06K9/00G06K9/46G06N3/04G06N3/08
CPCG06N3/084G06V20/13G06V10/40G06N3/044G06N3/045
Inventor 钟玮
Owner NAT UNIV OF DEFENSE TECH
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