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A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGE
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| Zeitschriftentitel: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
|---|---|
| Personen und Körperschaften: | , |
| In: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W7, 2017, S. 733-736 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Copernicus GmbH
|
| Schlagwörter: |
| author_facet |
Guo, Y. Zhang, J. Guo, Y. Zhang, J. |
|---|---|
| author |
Guo, Y. Zhang, J. |
| spellingShingle |
Guo, Y. Zhang, J. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGE General Earth and Planetary Sciences General Environmental Science |
| author_sort |
guo, y. |
| spelling |
Guo, Y. Zhang, J. 2194-9034 Copernicus GmbH General Earth and Planetary Sciences General Environmental Science http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-733-2017 <jats:p>Abstract. 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. </jats:p> A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGE The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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Copernicus GmbH, 2017 |
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| title |
A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGE |
| title_unstemmed |
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 |
a new 2d otsu for water extraction from sar image |
| topic |
General Earth and Planetary Sciences General Environmental Science |
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http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-733-2017 |
| publishDate |
2017 |
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733-736 |
| description |
<jats:p>Abstract. 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.
</jats:p> |
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| container_title | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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| description | <jats:p>Abstract. 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. </jats:p> |
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| spelling | Guo, Y. Zhang, J. 2194-9034 Copernicus GmbH General Earth and Planetary Sciences General Environmental Science http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-733-2017 <jats:p>Abstract. 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. </jats:p> A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGE The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spellingShingle | Guo, Y., Zhang, J., The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGE, General Earth and Planetary Sciences, General Environmental Science |
| 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 | a new 2d otsu for water extraction from sar image |
| title_unstemmed | A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGE |
| topic | General Earth and Planetary Sciences, General Environmental Science |
| url | http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-733-2017 |