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A method for joint stitching of large-area multi-strip side-scan sonar images

A technology of side-scan sonar and image stitching, which is applied in image enhancement, image analysis, and image-to-image conversion. It can solve the problem of position drift of feature stitching, achieve the effect of solving position drift, realizing fine acquisition, and improving the efficiency of feature stitching.

Active Publication Date: 2022-03-15
南京市测绘勘察研究院股份有限公司
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Problems solved by technology

[0003] In order to improve the feature stitching efficiency of large-area multi-strip side-scan sonar images and solve the problem of feature stitching position drift, the present invention provides a geometric transformation-based Segmented Speed-up Robust Features (SURF) feature extraction and registration method ;Given a multi-strip image group stitching method to realize large-area multi-strip side-scan sonar image stitching with joint features and geocoding

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  • A method for joint stitching of large-area multi-strip side-scan sonar images
  • A method for joint stitching of large-area multi-strip side-scan sonar images
  • A method for joint stitching of large-area multi-strip side-scan sonar images

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[0037] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0038] according to figure 1 The method flow shown is further clarified to the present invention with "side scan sonar measurement in a certain water area of ​​Shenzhen" as an application example:

[0039] Application example The water depth of the survey area is about 12 meters, and the 120kHZ low-frequency data of the dual-frequency Edgetech-4200 system is used. In order to ensure the data quality, the speed of the ship is relatively slow during the measurement, which ...

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Abstract

The invention discloses a joint splicing method of a large-area multi-strip side-scan sonar image, which comprises the following steps: image geometric transformation: rotation and cropping; SURF (Speeded Up Robust Features) feature block matching; geographic position error of feature splicing Causes and solutions; georeferencing after feature stitching of multi-strip images; joint geocoding and feature stitching between images. Compared with the prior art, the present invention improves the feature mosaic efficiency of multi-strip side-scan sonar images, realizes the unification of image positions after feature mosaic, and realizes the fine acquisition of "one map" of large-area seabed landforms.

Description

technical field [0001] The invention relates to a joint splicing method of multi-strip side-scan sonar images in a large area. The technical field of the invention belongs to the field of surveying and mapping science or measurement data processing technology, and is especially suitable for the fine acquisition of "one map" of large-area seabed landforms. Background technique [0002] Side Scan Sonar (SSS), as an acquisition device for high-resolution seabed topography images, is now widely used. The precise acquisition of "one map" of large-scale seabed landforms is one of the basic geographic information data for marine engineering construction and marine development demonstration. Due to factors such as SSS towing operation mode and ship attitude, geocoding images are often inaccurate, resulting in dislocation of common-view targets in adjacent strips in geo-stitched images; and currently widely used foreign data processing software such as SonarWeb ( Chesaspeake), Isis ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40G01S15/89
CPCG06T3/4038G01S15/8902G06T2207/20221
Inventor 朱邦彦王晓储征伟刘文伍孙静雯
Owner 南京市测绘勘察研究院股份有限公司