Barrage extraction from UAV image based on superpixel spatial relationship feature

GUO Kai-zhen; LI Ying; LIU Da-gang

doi:10.16411/j.cnki.issn1006-7736.2020.02.011

Journal of Dalian Maritime University >

2020 , Vol. 46 >Issue 2: 89 - 95

DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2020.02.011

Barrage extraction from UAV image based on superpixel spatial relationship feature

GUO Kai-zhen ,
LI Ying ,
LIU Da-gang

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(Navigation College, Dalian Maritime University, Dalian 116026, China)

Received date: 2020-02-24

Revised date: 2020-03-25

Online published: 2020-03-25

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Abstract

In order to solve the problem of high dependence of the extraction of river targets from UAV images on human interpretation, an algorithm based on the feature of super-pixel spatial relationship was proposed. Firstly, the simple linear iterative clustering (SLIC) algorithm was used to segment the UAV image and generate the super-pixel. Secondly, the color and texture features of the super-pixel region obtained were calculated, and the land and water segmentation was realized based on support vector machine (SVM). Finally, the automatic extraction of barrage was realized based on the feature of spatial relation. The experimental results show that this method can effectively extract the barrage area in UAV image, which has certain application value for the development of inland navigation and the monitoring of waterway facilities.

Key words： waterway facilities; UAV images; super pixels; land and water segmentation; spatial relationships

Cite this article

GUO Kai-zhen , LI Ying , LIU Da-gang . Barrage extraction from UAV image based on superpixel spatial relationship feature[J]. Journal of Dalian Maritime University, 2020 , 46(2) : 89 -95 . DOI: 10.16411/j.cnki.issn1006-7736.2020.02.011

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