Supercharge Your Innovation With Domain-Expert AI Agents!

Remote sensing image change detection method based on multi-group filtering and dimension reduction

A remote sensing image and change detection technology, which is applied in image analysis, image data processing, instruments, etc., can solve problems affecting the results of change detection, reduce spatial information of changed areas, and large calculation load, so as to improve algorithm efficiency and increase aggregation The effect of class quality and algorithm efficiency improvement

Inactive Publication Date: 2014-06-18
XIDIAN UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the eigenvector space of the difference image requires a large amount of calculation, and processing the image in blocks will reduce the spatial information of the changed area and affect the result of change detection.

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
  • Remote sensing image change detection method based on multi-group filtering and dimension reduction
  • Remote sensing image change detection method based on multi-group filtering and dimension reduction
  • Remote sensing image change detection method based on multi-group filtering and dimension reduction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] refer to figure 1 , the implementation steps of the present invention are as follows:

[0023] Step 1, for the two input remote sensing images T1 and T2 whose size is M×N and have been registered in different phases, such as figure 2 As shown, the pixel gray value at the corresponding position (x, y) of image T1 and image T2 space with Calculate the difference and get the difference difference map x=1, 2, . . . , M, y=1, 2, . . . , N, where M is the length of the remote sensing image T1, and N is the width of the remote sensing image T1.

[0024] Step 2, calculate the classification threshold T of the difference difference map Xd change class and non-change class m :

[0025] (2a) The initial classification threshold T is the mean value of the maximum pixel value and the minimum pixel value in the difference difference map Xd;

[0026] (2b) Use the initial classification threshold T to divide the difference difference map Xd into two categories, and calculate ...

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 remote sensing image change detection method based on multi-group filtering and dimension reduction. In the prior art, precision of a change detection image and operation time are insufficient. By using the method of the invention, the above problem can be solved. The method comprises the following steps: inputting two remote sensing images with different time phases, constructing a differential difference image, acquiring a segmentation result of the differential difference image, carrying out gray scale correction on the remote sensing image so as to obtain a new differential difference image; applying a Gabor filter to obtain multi-group filtering images and forming a sample matrix; using a Treelet algorithm to carry out dimension reduction on the sample matrix, carrying out K-means (KM) on the image on which the dimension reduction is performed so as to obtain a final change detection result. Experiment shows that by using the method of the invention, change detection processing efficiency can be effectively improved, image edge information can be maintained and accuracy of the change detection can be increased. The method can be used in disaster monitoring and land utilization fields.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and specifically relates to a remote sensing image change detection method based on multi-group filtering and dimensionality reduction, which is suitable for processing and analyzing remote sensing images. Background technique [0002] Change detection based on remote sensing images is a technique to analyze and determine the characteristics and processes of surface changes from the multi-temporal remote sensing images of the same geographical area acquired at different times. It is widely used in agriculture, environment, urban planning, national defense and other fields. Through the analysis of remote sensing images of different time phases in the same area, information on changes in the ground features in the area can be obtained. research direction. [0003] The change detection method for two remote sensing images after registration is generally to obtain the difference ma...

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 王桂婷焦李成曹娟钟桦张小华田小林公茂果王爽
Owner XIDIAN UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More