Combined splicing method of multi-strip side-scan sonar images in large area

The invention discloses a combined splicing method of multi-strip side-scan sonar images in a large area. The method includes the following steps of geometric transformation of the images; rotation and clipping; SURF (Speeded Up Robust Features) partition matching; feature splicing of geographic pos...

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Bibliographische Detailangaben
Hauptverfasser: WANG XIAO, ZHU BANGYAN, SUN JINGWEN, LIU WENWU, CHU ZHENGWEI
Format: Patent
Sprache:chi ; eng
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Beschreibung
Zusammenfassung:The invention discloses a combined splicing method of multi-strip side-scan sonar images in a large area. The method includes the following steps of geometric transformation of the images; rotation and clipping; SURF (Speeded Up Robust Features) partition matching; feature splicing of geographic position error inducements and solution strategies; geographic standard redetermination after feature splicing of the multi-strip images; combined geocoding and feature splicing among the images. Compared with the prior art, the method has the advantages that the feature splicing efficiency of the multi-strip side-scan sonar images is improved, unification of image positions after feature splicing is achieved, and fine acquiring of a submarine geomorphic map in the large area is achieved. 本发明公开了种大区域多条带侧扫声呐图像的联合拼接方法,包括如下步骤:图像几何变换:旋转和裁剪;SURF(Speeded Up Robust Features)特征分块匹配;特征拼接的地理位置误差诱因及解决策略;多条带图像特征拼接后的地理基准重确定;图像间的联合地理编码和特征拼接。与现有技术相比,本发明提高了多条带侧扫声呐图像特征拼接效率,实现了特征拼接后图像位置统,实现了大区域海底地貌"张图"的精细获取。