A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGE
SAR image segmentation is a crucial step that heavily influences the performance of image interpretation. The texture factor to replace the neighborhood mean dimension in the traditional Otsu method is proposed in this work, aiming at the problem that the SAR image has unique characteristics and t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2017-09-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/733/2017/isprs-archives-XLII-2-W7-733-2017.pdf |
| _version_ | 1811203599286403072 |
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| author | Y. Guo Y. Guo J. Zhang |
| author_facet | Y. Guo Y. Guo J. Zhang |
| author_sort | Y. Guo |
| collection | DOAJ |
| description | SAR image segmentation is a crucial step that heavily influences the performance of image interpretation. The texture factor to
replace the neighborhood mean dimension in the traditional Otsu method is proposed in this work, aiming at the problem that the
SAR image has unique characteristics and the original 2D Otsu method only considers the pixel neighborhood mean information. In
this paper, TerraSAR image with the single band and single polarization is used to water extraction. Firstly, the semantic function is
used to analyze the structural characteristics of the sample image to determine the optimal parameters of the texture information
extraction. Then, calculate the textural measures such as contrast, entropy, homogeneity, mean and second moment based on gray
level co-occurrence matrix(GLCM) method. The results are compared with the artificially marked images and the results of the
original 2D Otsu.The experimental results achieve higher objective values, which shows the proposed algorithm using texture factor
has a high practical value for SAR Image water segmentation. |
| first_indexed | 2024-04-12T02:59:11Z |
| format | Article |
| id | doaj.art-1566aa90b37449d38845d1a8ef0f0d99 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-12T02:59:11Z |
| publishDate | 2017-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-1566aa90b37449d38845d1a8ef0f0d992022-12-22T03:50:43ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-09-01XLII-2-W773373610.5194/isprs-archives-XLII-2-W7-733-2017A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGEY. Guo0Y. Guo1J. Zhang2School of Geomatics, Liaoning Technical University, Fuxin, ChinaKey Laboratory of Geo-Informatics of State Bureau of Surveying and Mapping, Chinese Academy of Surveying and Mapping, Beijing, ChinaNational Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing, ChinaSAR image segmentation is a crucial step that heavily influences the performance of image interpretation. The texture factor to replace the neighborhood mean dimension in the traditional Otsu method is proposed in this work, aiming at the problem that the SAR image has unique characteristics and the original 2D Otsu method only considers the pixel neighborhood mean information. In this paper, TerraSAR image with the single band and single polarization is used to water extraction. Firstly, the semantic function is used to analyze the structural characteristics of the sample image to determine the optimal parameters of the texture information extraction. Then, calculate the textural measures such as contrast, entropy, homogeneity, mean and second moment based on gray level co-occurrence matrix(GLCM) method. The results are compared with the artificially marked images and the results of the original 2D Otsu.The experimental results achieve higher objective values, which shows the proposed algorithm using texture factor has a high practical value for SAR Image water segmentation.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/733/2017/isprs-archives-XLII-2-W7-733-2017.pdf |
| spellingShingle | Y. Guo Y. Guo J. Zhang A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGE The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGE |
| title_full | A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGE |
| title_fullStr | A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGE |
| title_full_unstemmed | A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGE |
| title_short | A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGE |
| title_sort | new 2d otsu for water extraction from sar image |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/733/2017/isprs-archives-XLII-2-W7-733-2017.pdf |
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