Coastline extraction of remote sensing image by combining Otsu, regional growth method with morphology

doi:10.13474/j.cnki.11-2246.2020.0325

Abstract

Abstract: Aiming at the low accuracy of the existing coastline extraction methods, which cannot meet the needs of processing various sensor satellite images and the extraction of linear and complex coastlines. This paper proposes a combination of Otsu, regional growth method with morphology method for coastline extraction of remote sensing images. And the experiments show that this coastline extraction method can give full play to the advantages of Otsu, regional growth method and morphology separately in the extraction of coastline, which improves the accuracy of coastline extraction greatly. Two different satellite image data are used to test to verify the good applicability of the method under different conditions.

Key words: coastline extraction, Otsu, regional growth, effect evaluation, remote sensing image

CLC Number:

P237

ZHANG Jin, LAI Zulong, SUN Jie. Coastline extraction of remote sensing image by combining Otsu, regional growth method with morphology[J]. Bulletin of Surveying and Mapping, 2020, 0(10): 89-92.

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