Unlock instant, AI-driven research and patent intelligence for your innovation.

SAR Image Correction Method Based on Improved Phase Consistency Eigenvector Basemap Matching

A technology of image correction and feature vector, applied in the field of remote sensing to improve the accuracy

Active Publication Date: 2020-06-09
中科卫星山东科技集团有限公司
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0020] In view of the above technical problems, this disclosure provides an automatic correction method for SAR images based on improved phase consistency features for vector basemap matching. Automatically corrects problems, realizes automatic matching of SAR images and vector basemaps, and improves the accuracy of matching results

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 Correction Method Based on Improved Phase Consistency Eigenvector Basemap Matching
  • SAR Image Correction Method Based on Improved Phase Consistency Eigenvector Basemap Matching
  • SAR Image Correction Method Based on Improved Phase Consistency Eigenvector Basemap Matching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0063] It should be noted that, in the drawings or descriptions of the specification, similar or identical parts all use the same figure numbers. Implementations not shown or described in the accompanying drawings are forms known to those of ordinary skill in the art. Additionally, while illustrations of parameters including particular values ​​may be provided herein, it should be understood that the parameters need not be exactly equal to the corresponding values, but rather may approximate the corresponding values ​​within acceptable error margins or design constraints. The directional terms mentioned in the embodiments, such as "upper", "lower", "front", "rear", "left", "right", etc., are only referring to the dire...

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 present disclosure provides a SAR image correction method based on improved phase consistency feature vector base map matching, including: converting the vector base map into a binary raster image at a specified resolution; converting the original SAR image to be corrected as described Specify the resolution for geocoding; determine the common area between the two images based on the geographical information of the rasterized vector base map and the geocoded SAR image; extract the line shape of the geocoded SAR image based on the improved phase consistency operator Feature maps are used for automatic matching with rasterized vector basemaps; template matching is performed on vector basemap slices and image slices after linear feature extraction; the Ransac method is used to filter matching point pairs, remove mismatched points, and obtain the original For the control point information of SAR images, the image square affine transformation model is used for image correction processing to obtain SAR images with accurate geometric positioning. The disclosed correction method improves the accuracy of matching results.

Description

technical field [0001] The present disclosure relates to the technical field of remote sensing, in particular to a SAR image correction method based on improved phase consistency feature vector basemap matching. Background technique [0002] Synthetic Aperture Radar (SAR), as an all-weather and all-weather earth observation method, has obvious advantages in disaster areas, cloudy and foggy conditions. In recent years, the number of SAR remote sensing satellites in orbit has been increasing, including PalSAR, Cosmo, RadarSat, TerraSAR, Gaofen-3, etc. have acquired more and more SAR remote sensing image data. The precise positioning of remote sensing images is an important prerequisite for the quantitative application of remote sensing data. The conventional geometric correction processing of remote sensing images needs to be performed based on field control points. Poor timeliness [Qiu Xiaolan, Han Chuanzhao, Liu Jiayin. A geometric correction method for spaceborne SAR based...

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): G06T5/00G06T3/00G06T7/13G06T7/33
CPCG06T7/13G06T7/33G06T2207/30181G06T3/02G06T5/80
Inventor 王峰向俞明尤红建刘佳音
Owner 中科卫星山东科技集团有限公司
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