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

Hyperspectral Haze Monitoring Method Based on Deep Residual Network

A hyperspectral and residual technology, applied in the direction of measuring devices, electromagnetic wave re-radiation, radio wave measurement systems, etc., can solve the problems of no hyperspectral data, and the accuracy cannot fully meet the haze monitoring, so as to facilitate monitoring and classification, The effect of narrow spectral range and multiple bands

Active Publication Date: 2018-10-19
SHANGHAI JIAOTONG UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In 2012, Wang Zhongting and others proposed the deep blue algorithm using the data of the Environment-1 satellite (Wang Zhongting, Li Qing, Li Xinxin, et al. Haze monitoring application based on the Environment-1 satellite[J]. Spectroscopy and Spectral Analysis, 2012, 32(3 ):775-780.) for haze monitoring, but due to the limitation of radiation resolution, the accuracy cannot fully meet the needs of haze monitoring
Currently there is no hyperspectral data for haze monitoring research

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
  • Hyperspectral Haze Monitoring Method Based on Deep Residual Network
  • Hyperspectral Haze Monitoring Method Based on Deep Residual Network
  • Hyperspectral Haze Monitoring Method Based on Deep Residual Network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention is described in detail below in conjunction with the accompanying drawings and experimental examples:

[0028] The first step is to obtain the raw data of hyperspectral remote sensing;

[0029] The second step is to perform preprocessing operations on the data, including stripe repair and line replacement removal, damaged band removal, atmospheric correction, geometric correction and other operations;

[0030] Among them, the images obtained at different times and different dimensions also need to correct the sun altitude angle, as shown in Equation 1.

[0031]

[0032] where I is the reflected intensity after correction, I 0 is the raw reflection intensity and h is the sun elevation angle when the image was taken.

[0033] The third step is to obtain the observation data of the ground station at the corresponding time in the corresponding area of ​​the hyperspectral image;

[0034] The fourth step is to cut out the hyperspectral images in 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 relates to a hyperspectral haze monitoring method based on a depth residual error network. According to the hyperspectral haze monitoring device, the depth residual error network is combined with hyperspectral remote sensing data, and a shortcut passage method is added in the network, so that the training difficulty is lowered, the training precision is improved, a relatively accurate haze monitoring model is obtained, and the monitoring precision is improved.

Description

technical field [0001] The invention relates to the technical field of image processing and pattern recognition, in particular to a hyperspectral haze monitoring method based on a deep residual network. Background technique [0002] At present, my country's air pollution is becoming more and more serious. Air haze pollution has become a major environmental problem that needs to be solved urgently. An important part of haze pollution control is haze monitoring. At present, the means for monitoring haze weather phenomena include ground fixed-point observation and satellite remote sensing detection. Due to the characteristics of high frequency of occurrence of haze in a specific time and a wide range of influence, timely and accurate monitoring of smog can only be carried out if the monitoring method has a high spatial and temporal nature. However, ground-based fixed-point observation is mainly based on the deployment of meteorological stations. Due to the constraints of man...

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): G01N15/06G01S17/95
CPCG01N15/06G01S17/95Y02A90/10
Inventor 李元祥陆永帅施雨舟徐俊彭希帅
Owner SHANGHAI JIAOTONG UNIV
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