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

A multi-factor sensitive facility identification method

A recognition method and multi-factor technology, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of incomplete factor evaluation set and large error in wrong judgment, and achieve high application value, high recognition accuracy, and high The effect of applying value

Active Publication Date: 2019-04-09
BEIJING RES INST OF URANIUM GEOLOGY
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to propose a multi-factor sensitive facility identification method, which solves the technical problems of incomplete factor evaluation sets and large error judgment errors in the prior art

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 multi-factor sensitive facility identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] The present invention will be further described below in conjunction with specific examples in the Ili Basin of Xinjiang.

[0068] like figure 1 As shown, a multi-factor sensitive facility identification method includes the following steps:

[0069] Step 1, information extraction:

[0070] Step 1.1: Extract terrain and landform information;

[0071] Step 1.2: Extract climate information;

[0072] Step 1.3: extract geological information;

[0073] Step 1.4: extract vegetation information;

[0074] Step 1.5: extract hydrological information;

[0075] Step 1.6: Extract engineering facility information;

[0076] Step 1.7: Extract land use information;

[0077] Step 2: Build an evaluation model:

[0078] Step 2.1: Data preprocessing;

[0079] Step 2.2; build a model;

[0080] Step 2.3: Establish and solve the fuzzy comprehensive evaluation model;

[0081] Step 2.4: Model accuracy verification;

[0082] Step 3: Sensitive identification.

[0083] The step 1.1: ext...

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 belongs to the technical field of remote sensing monitoring information extraction, and particularly relates to a multi-factor sensitive facility identification method, which comprises the following steps of: 1, information extraction: 1.1, extracting topographic and geomorphological information; 1.2, extracting climate information; 1.3, extracting geological information; 1.4, extracting vegetation information; 1.5, extracting hydrological information; 1.6, extracting engineering facility information; 1.7, extracting land utilization information; Step 2, establishing an evaluation model: step 2.1, data preprocessing; 2.2, the step is carried out; Establishing a model; 2.3, establishing and solving a fuzzy comprehensive evaluation model; 2.4, verifying the precision of the model; Step three, sensitive identification;.

Description

technical field [0001] The invention belongs to the technical field of remote sensing monitoring information extraction, and in particular relates to a multi-factor sensitive facility identification method. Background technique [0002] The accurate identification of sensitive facilities is one of the important research fields of remote sensing monitoring. Multi-factors cover the characteristics of the sensitive facilities themselves and the surrounding environment, and have important comprehensive application value. Through multi-factor analysis, sensitive facilities can be identified remotely, providing effective scientific means for relevant departments to make decisions. [0003] The traditional process of this work is to measure known facilities on site, and form a factor evaluation set by obtaining their shape characteristics, spectral characteristics, and physical and chemical characteristics. When identifying unknown facilities, by comparing typical characteristics,...

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): G06K9/62
CPCG06F18/2193G06F18/253Y02A90/10
Inventor 张东辉赵英俊武鼎秦凯赵宁博张玉燕喻翔
Owner BEIJING RES INST OF URANIUM GEOLOGY