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

Remote-sensing image building change detection method

A technology of change detection and remote sensing images, which is applied in the field of remote sensing image processing, can solve the problems of manual participation, etc., and achieve the effects of improving detection accuracy, reducing manpower burden, and good detection performance

Pending Publication Date: 2020-01-17
BEIJING RES INST OF URANIUM GEOLOGY
View PDF5 Cites 94 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Methods based on traditional image processing are divided into three levels, pixel-level, feature-level, and target-level image processing. This type of method involves more manual work, resulting in many false change areas.

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 building change detection method
  • Remote-sensing image building change detection method
  • Remote-sensing image building change detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] In order to better illustrate a method for detecting building changes in remote sensing images based on an attention mechanism and a feature pyramid network involved in the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments:

[0040] Step 1, read in the image and preprocess it.

[0041] First, select the high-resolution remote sensing image T of the same area in two phases 1 and T 2 , including three channels of R, G, and B. The specific selection principle: select data taken in different years, similar dates, and climate and meteorological conditions, with consistent spatial resolution, and use the same preprocessing method to eliminate geometric and radiation differences. non-significant change.

[0042] Secondly, using the RPC Orthorectification Workflow process tool in the ENVI software, combined with the known high-resolution satellite remote sensing image RPC p...

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 belongs to the technical field of remote sensing image processing, and particularly relates to a remote sensing image building change detection method, which comprises the following operation steps: (1) reading an image and preprocessing the image; (2) making a sample data set; (3) constructing a network model based on an attention mechanism and a feature pyramid; (4) selecting a training sample to train the network model; (5) selecting a verification sample to verify the network model; and (6) classifying by using the trained model, and outputting a final change detection result. According to the method, a feature pyramid network is introduced, an attention mechanism is used in the multi-scale feature fusion process of all levels, and features are enhanced layer by layer tobe used for target detection of different scales; through application of deformable convolution and cavity convolution, the network obtains the feature expression capability of automatically adaptingto object deformation, the feature size is reserved while the receptive field is expanded, multi-scale information is obtained, the false alarm rate is effectively reduced, and the detection precisionis improved.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and in particular relates to a method for detecting building changes in remote sensing images. Background technique [0002] Change detection is an important research direction in the field of remote sensing, and it has a wide range of applications in both civilian and military applications, such as military target monitoring, battlefield intelligence analysis, land inspection, disaster assessment, urban planning and other fields. Change detection is a technical means to detect and extract information about changes in an object or phenomenon by making multiple observations of the object or phenomenon. [0003] Remote sensing technology has the advantages of macro, real-time, high efficiency, and high resolution, and provides a new technical means for building change detection. High spatial resolution, high spectral resolution, high temporal resolution, multi-platform, mul...

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
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V20/176G06N3/045G06F18/214G06F18/241
Inventor 田青林陈俊秦凯陈雪娇李瀚波余长发
Owner BEIJING RES INST OF URANIUM GEOLOGY
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