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

SAR image change detection method based on FPGA

A change detection and image technology, applied in the field of remote sensing image processing, can solve the problems of unsatisfactory network fitting data distribution, large consumption of storage and computing resources, long cycle iteration time, etc. The effect of improving the accuracy of change detection

Pending Publication Date: 2019-08-13
XIDIAN UNIV
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method manually selects the threshold to analyze the difference map, resulting in a large error in the detection result.
In 2012, Gong et al. proposed a FLICM clustering method to increase the size of the fuzzy factor to analyze the difference map, thereby improving the accuracy of membership degree calculation and reducing the impact of noise, but the traditional clustering method has cyclic iterations. The problem of taking too long
Amin et al. proposed a change detection method using deep learning and superpixel segmentation. This method uses a convolutional neural network to classify the pixels of the difference map to obtain change detection results. However, due to the limitation of the size of the data set, deep learning The method has the problems of unsatisfactory network fitting data distribution and huge consumption of storage and computing resources

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
  • SAR image change detection method based on FPGA
  • SAR image change detection method based on FPGA
  • SAR image change detection method based on FPGA

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0019] The invention is a fast SAR image change detection method based on FPGA, and its hardware platform is an FPGA platform based on an open computing language OpenCL. The Open Computing Language OpenCL is a commonly used parallel programming framework for heterogeneous hardware systems.

[0020] refer to figure 1 , the realization steps of the SAR image change detection method based on FPGA of the present invention are as follows:

[0021] Step 1, input image.

[0022] Get two registered SAR images of the same area in different periods of any sizeX 1 and x 2 Input, input it into the host computer, and store it in the global memory of the FPGA, so that each work item of the FPGA can access the data.

[0023] Step 2, perform parallel Lee fil...

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 SAR (Synthetic Aperture Radar) image change detection method based on an FPGA (Field Programmable Gate Array), which mainly solves the problems that the prior art is easilyinfluenced by noise and the detection speed is low. The method comprises the following implementation steps of: 1) reading in two SAR images at different periods; 2) carrying out parallel Lee filtering on the two SAR images; 3) generating two difference graphs with different characteristics according to the filtered image, namely a direct difference graph and a logarithm ratio difference graph; 4)transforming the difference image into a frequency domain by adopting parallel wavelet transformation, and performing fusion and parallel wavelet inverse transformation in the frequency domain to obtain a fused difference image; 5) using a parallel difference K-means method to perform two clustering on a fusion difference map to obtain a change detection result. The invention adopts a method of FPGA parallel acceleration and difference graph fusion, has the advantages of fast detection speed and good anti-noise performance, and can be used for fast and accurate SAR image change detection in complex environments.

Description

technical field [0001] The invention belongs to the field of remote sensing image processing, and further relates to a SAR image parallel change detection method, which can be used for rapid remote sensing image change detection in complex scenes. Background technique [0002] Remote sensing is a science and technology that can sense the electromagnetic wave information reflected, radiated or scattered by ground objects at a long distance, and analyze and process the obtained information. Remote sensing image change detection is the process of studying remote sensing images in different periods of the same area and analyzing the change information of ground objects. At present, the change detection technology of remote sensing images has developed rapidly, and has become an important part and research hotspot of remote sensing application research. Remote sensing image change detection technology has been widely used in various fields, such as natural disaster analysis, for...

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 Applications(China)
IPC IPC(8): G06K9/62G06T5/00G06T5/50
CPCG06T5/50G06T2207/20024G06T2207/10032G06F18/232G06T5/70
Inventor 王爽刘飞航秦海轮杨孟然李琦侯彪焦李成
Owner XIDIAN 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
Eureka Blog
Learn More
PatSnap group products