Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

A Method of Quantitatively Detecting the Spatial Pattern Size of Regular Ground Objects with Local Variance

A technology of local variance and spatial pattern, applied in image data processing, instrumentation, calculation, etc., can solve the problem of inability to accurately obtain the spatial pattern size of regular image objects

Inactive Publication Date: 2016-03-30
NORTHEAST INST OF GEOGRAPHY & AGRIECOLOGY C A S
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that the traditional method cannot accurately obtain the size of the spatial pattern of regular image features, the present invention proposes a method for quantitatively detecting the size of the spatial pattern of regular images with local variance

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 of Quantitatively Detecting the Spatial Pattern Size of Regular Ground Objects with Local Variance
  • A Method of Quantitatively Detecting the Spatial Pattern Size of Regular Ground Objects with Local Variance
  • A Method of Quantitatively Detecting the Spatial Pattern Size of Regular Ground Objects with Local Variance

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0032] Specific embodiment one: a kind of local variance quantitatively detects the method for the spatial pattern size of regular features in the present invention, and it specifically comprises the following steps:

[0033] Step 1. Binarize the original regular image to obtain a binary image with a grayscale value of 0 and 1. According to the simple rule image judgment, set the threshold value as 1 if the grayscale value is greater than the threshold value, and assign the value to 1 if the grayscale value is smaller than the threshold value. Assign a value of 0 to get a simpler regular image.

[0034] Step 2. According to the binary image obtained in step 1, calculate the local variance value of the binarized image through the local variance method (the window size is 3×3), so as to obtain the local variance curve. The specific process is as follows:

[0035] Step 2 (1). First, the original two-dimensional image with 0 and 1 rules is continuously coarsened step by step to ob...

Embodiment

[0052] The specific implementation of the technical solution of the present invention will be described in conjunction with the following examples, using the improved local variance to quantitatively detect the size of the feature pattern of a regular two-dimensional image. combine figure 1 Describe this embodiment, a method for quantitatively detecting the size of the spatial pattern of regular ground objects with local variance, the specific process is as follows:

[0053] Step 1. Set the threshold of the gray value of the image according to the original rule image for binarization processing, and obtain a binary image with gray values ​​of 0 and 1; in this example, the threshold of the gray value is set to 150, that is, the gray value in the image Values ​​greater than 150 are assigned a value of 1, and gray values ​​smaller than 150 are assigned a value of 0, thus obtaining a simple binary rule image; figure 2 and image 3 shown.

[0054] Step 2. According to the binar...

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

A local variance quantification detection method for the size of a regular ground object spatial pattern relates to a local variance quantification detection method for the size of a regular ground object spatial pattern, and problems that sizes of regular image ground object spatial patterns can not be accurately obtained through the utilization of traditional methods are solved. The steps of binaryzation processing, calculating a local variance value of a window of a 3*3 size, making a local variance curve map, determining an image period P, calculating a local variance value of a window of a P*P size are sequentially carried out. Finally, the local variance value of the window of the P*P size and the image period P are substituted into a local variance method model to obtain the size of the ground object spatial pattern. The local variance quantification detection method for the size of the regular ground object spatial pattern of the invention is used for detecting the size of the spatial pattern from the regular ground object space of a remote sensing image.

Description

technical field [0001] The invention relates to a method for quantitatively detecting the spatial pattern size of regular ground objects by local variance. Background technique [0002] Spatial pattern is an important geometric feature of the ground system, and the heterogeneity of the surface landscape also determines the importance of the study of the spatial pattern. At the same time, the study of the spatial structure is the basis for the study of the function, process and dynamics of the ground landscape. Therefore, the influence of spatial patterns must be considered in many practical application studies, such as hydrological analysis, research on dynamic changes in urban pattern, analysis of forest canopy size, and so on. The early research mainly studied the structure and dynamics of the landscape through field surveys, measurements, or obtaining small-scale spatial structures of ground objects through aerial photos and various photos; with the rapid development of m...

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): G06T7/00
Inventor 郑辉刘兆礼
Owner NORTHEAST INST OF GEOGRAPHY & AGRIECOLOGY C A S
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
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