A Method for Generating Remote Sensing Image Samples of Construction Waste

A remote sensing image and construction waste technology, which is applied in 2D image generation, image analysis, image enhancement, etc., can solve the problem of few remote sensing construction waste image samples, and achieve the effect of suppressing noise and increasing contrast

Active Publication Date: 2020-12-04
BEIJING UNIV OF CIVIL ENG & ARCHITECTURE
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the above technical problems, the purpose of the present invention is to provide a method for generating remote sensing image samples of construction waste to solve the problem of too few remote sensing construction waste image samples when using remote sensing images for construction waste identification

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 Method for Generating Remote Sensing Image Samples of Construction Waste
  • A Method for Generating Remote Sensing Image Samples of Construction Waste
  • A Method for Generating Remote Sensing Image Samples of Construction Waste

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] Such as figure 1 As shown, a method for generating remote sensing image samples of construction waste, the overall process is as follows: preprocess the downloaded remote sensing images to obtain two sample data sets, and when the sample sets enter the program, the system will adjust the contrast of the sample sets , and then input it into the generative confrontation network to generate samples. If the sample accuracy reaches the standard and the network reaches convergence, it will be completed.

[0054] Specifically include:

[0055] S1. Remote sensing image preprocessing to create sample data sets

[0056] Such as figure 2 As shown, the sample data set production process is as follows:

[0057] S1.1. Orthorectification

[0058] For orthorectification, select multi-spectral data for input data, and select DEM data with a global resolution of 900 meters for DEM data, and the output pixel size is 4 meters. The resampling method is triple convolution method, and th...

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 method for generating a remote sensing image sample of construction waste. The downloaded remote sensing image is preprocessed to obtain a sample data set. When the sample set enters the program, the system will adjust the contrast of the sample set, and then input it into the generated confrontation The generation of samples in the network is completed if the sample accuracy reaches the standard and the network reaches convergence. The invention solves the problem of too few remote sensing image samples of construction waste when remote sensing images are used to identify construction waste.

Description

technical field [0001] The invention relates to a method for generating remote sensing image samples of construction waste, which is a method for generating remote sensing image samples of construction waste based on generative confrontation networks and LBP operators. Background technique [0002] With the acceleration of industrialization and urbanization, the construction industry is also developing rapidly, and the accompanying construction waste is increasing. The amount of construction waste in China has accounted for more than 1 / 3 of the total urban waste. China is in a period of rapid economic development, and hundreds of millions of tons of construction waste are inevitably generated every year. If it is not processed and utilized in time, it will have adverse effects on society, environment and resources. Therefore, the research on intelligent supervision and identification of construction waste is imminent. [0003] For the mainstream deep learning recognition al...

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): G06T11/00G06T7/30G06K9/62
CPCG06T11/00G06T11/001G06T7/30G06T2207/10032G06T2207/20221G06T2207/20081G06T2207/20084G06F18/24G06F18/214
Inventor 刘扬李思琦杜明义辛超姚毅周远洋张敏
Owner BEIJING UNIV OF CIVIL ENG & ARCHITECTURE
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