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

Scene suitability analysis method based on support vector machine

A technology of support vector machine and analysis method, which is applied in the field of image adaptability analysis, can solve the problems of too many parameters of the adaptation area analysis criteria, poor universality, linear division, etc., and achieve maximum weapon performance, good economic benefits and The effect of military benefit

Inactive Publication Date: 2022-05-13
中国人民解放军96901部队
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a scene adaptability analysis method based on a support vector machine, which solves the problems that the existing automatic selection method of scene adaption area is poor in universality, and the analysis criteria parameters of the adaption area are too many to be linearly divided according to a single characteristic parameter.

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
  • Scene suitability analysis method based on support vector machine
  • Scene suitability analysis method based on support vector machine
  • Scene suitability analysis method based on support vector machine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0020] Such as figure 1 As shown, a scene adaptability analysis method based on support vector machine, the specific steps are:

[0021] S1: Image feature selection

[0022] In order to use SVM for image classification, it can be divided into two types: adaptable and non-adaptable. First, the image feature vector should be constructed, and the image features that can represent the image more comprehensively and be conducive to correct classification should be selected. The initial features of the radar image are selected according to the matching characteristics of the missile image. Each feature can reflect the suitability of the image from different angles. For example, the height fluctu...

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 scene suitability analysis method based on a support vector machine. The method comprises the following steps: S1, image feature selection; S2, sample generation; s3, training and outputting an SVM model; and S4, carrying out suitability analysis by using an SVM model. The method not only can be used for optimizing a guidance scheme and matching positioning algorithm design, but also can be applied to guidance task planning, is beneficial to maximizing weapon performance, and has good economic benefits and military benefits.

Description

technical field [0001] The invention relates to an image adaptability analysis method, in particular to a scene adaptability analysis method based on a support vector machine. Background technique [0002] The radar scene matching and positioning seeker assists navigation by matching the radar real-time image taken during the flight of the missile and the prepared target reference image to achieve precise positioning of the target. The adaptability of the reference image is an important factor affecting the matching accuracy besides the performance of the matching algorithm. It is particularly important to improve the probability of correct matching by performing fitness analysis on reference images during combat mission planning. [0003] At present, the selection of scene matching area mainly depends on manual selection. However, when the amount of scene matching data is large, manual selection of the matching area is heavy workload and slow, and it is often difficult to...

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): G06T7/00G06K9/62G06V10/75G06V10/774G06V10/764
CPCG06T7/0002G06T2207/20081G06F18/2411G06F18/214
Inventor 何浩东吴明强占必超王才红宫树香许馨月高军强刘庆国何向晨刘青赵云飞
Owner 中国人民解放军96901部队