A method and device for monitoring impervious surfaces based on landsat time series images

A technology of time series and monitoring devices, which is applied in character and pattern recognition, instrument, scene recognition, etc., can solve the problems of weak theoretical research on impermeable surface monitoring of time series images, and ensure time-spatial consistency, speed and accuracy The effect of extraction

Active Publication Date: 2018-12-14
WUHAN UNIV
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the theoretical basis of impervious surface monitoring based on time series images is still weak.

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 and device for monitoring impervious surfaces based on landsat time series images
  • A method and device for monitoring impervious surfaces based on landsat time series images
  • A method and device for monitoring impervious surfaces based on landsat time series images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] please see figure 1 , figure 1 It is a flow chart of a method for monitoring impermeable surfaces based on Landsat time series images provided by a specific embodiment of the present invention. The method of the present invention includes the following steps:

[0045] Step 1: For the registered Landsat time series images, establish a time series LST (Land Surface Temperature, land surface temperature), a time series BCI (Biophysical Composition Index, biophysical component index) and a time series NDVI (Normalized Difference Vegetation Index, normalized Vegetation Index), this step includes the following sub-steps:

[0046] Step 1.1: For the thermal infrared band of each Landsat image, use the radiative transfer equation to calculate the LST image of the Landsat image, see figure 2 , to get the time series LST of Landsat time series images;

[0047] First, use the calibration coefficient to convert the DN value of each Landsat image in the thermal infrared band into...

Embodiment 2

[0092] Embodiment 2 is a device embodiment. The device embodiment 2 and the method embodiment 1 of the present invention belong to a unified technical concept. Please refer to the method embodiment 1 for details not described in detail in the device embodiment 2.

[0093] image 3 : a structural schematic diagram of an impermeable surface monitoring device based on Landsat time-series images provided by a specific embodiment of the present invention. Such as image 3 As shown, a kind of impermeable surface monitoring device based on Landsat time series image of the present invention comprises:

[0094] A time series establishment unit is used to establish a time series LST, a time series BCI and a time series NDVI for the registered Landsat time series images;

[0095] In this scheme, the time series creation unit is specifically used for calculating the LST image of the Landsat image by using the radiation transfer equation for the thermal infrared band of each Landsat imag...

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 an impermeable surface monitoring method and device based on Landsat time series images. The method comprises step 1, aiming at the Landsat time series images after registration, establishing time series LST, time series BCI and time series NDVI; step 2 interpolating the missing data in each time series, eliminating the noise and year of each time series In step 3, the stable time series representing the impervious surface is selected from the smooth time series as the class label time series samples, and the difference between the non-class label time series samples and the class label time series samples is measured. Similarity distance, obtain the similarity distance map corresponding to each time series; step 4 uses the C4.5 algorithm to classify the similarity distance map at different time intervals, and monitors its temporal and spatial variation rules by using the temporal and spatial distribution characteristics of impervious surfaces. The invention improves the monitoring accuracy of the impermeable surface.

Description

technical field [0001] The present invention relates to the technical field of remote sensing image processing technology and information extraction method, and more specifically, relates to a method and device for monitoring impervious surfaces based on Landsat time series images. The present invention is applicable to urban land planning, urban environment analysis, etc. Applications of remote sensing technology. Background technique [0002] Impervious surface is an important evaluation index of urbanization process and environmental ecological system. The change of impervious surface is the main factor causing changes in biogeochemical cycle, urban climate, landscape dynamics, urban heat island effect, etc. It is the development mode and intensity of urbanization process. the most direct manifestation of . The impervious surface monitoring method has a strong guiding role in urban planning and environmental management. Therefore, the research on impervious surface moni...

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): G06K9/00
CPCG06V20/13
Inventor 邵振峰张磊丁霖付虎艳张源
Owner WUHAN UNIV
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