1. Best-Performing Color Space for Land-Sea Segmentation
- Author
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Amadou Seidou Maiga, Oumar Diop, Kidiyo Kpalma, Seynabou Toure, Université Gaston Berger de Saint-Louis Sénégal (UGB), Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Herencsar N. (ed), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Université de Nantes (UN)-Université de Rennes 1 (UR1)
- Subjects
Land-sea segmentation ,Computer science ,business.industry ,feature extraction ,FOOS ,Feature extraction ,0211 other engineering and technologies ,k-means clustering ,YCbCr ,02 engineering and technology ,HSL and HSV ,color space ,Space (commercial competition) ,Color space ,[SPI]Engineering Sciences [physics] ,0202 electrical engineering, electronic engineering, information engineering ,RGB color model ,020201 artificial intelligence & image processing ,Computer vision ,Segmentation ,Artificial intelligence ,business ,K-means ,021101 geological & geomatics engineering - Abstract
International audience; Land-sea segmentation is one of the most challenging tasks in remote sensing. It is of great importance for many applications like coastline extraction and near shore ship detection. To facilitate future land-sea segmentation related research, we present, in this paper, an experimental study conducted on five color spaces (RGB, XYZ, La∗b∗, HSV and YCbCr) in order to show the best-performing color space for land-sea segmentation. The test is carried out on 50 images. The average segmentation results are given. The results show that the luminance-chrominance space (YCbCr, La∗b∗, HSV) are more appropriated than primary space (RGB, XYZ), in general. It is particularly noted that the perceptual color space HSV allows better results in land-sea segmentation application. © 2018 IEEE.
- Published
- 2018
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