Panchromatic Satellite Image Classification for Flood Hazard Assessment
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad Nacional Autónoma de México
2012
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| _version_ | 1876465227787141120 |
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| author | Ahmed Shaker |
| author_facet | Ahmed Shaker |
| contents | Panchromatic Satellite Image Classification for Flood Hazard Assessment Ahmed Shaker Wai Yeung Yan Nagwa El-Ashmawy Ingeniería texture analysis Panchromatic imagery image classification flood hazard assessment The study aims to investigate the use of panchromatic (PAN) satellite image data for flood hazard assessment with an aid of various digital image processing techniques. Two SPOT PAN satellite images covering part of the Nile River in Egypt were used to delineate the flood extent during the years 1997 and 1998 (before and after a high flood). Three classification techniques, including the contextual classifier, maximum likelihood classifier and minimum distance classifier, were applied to the following: 1) the original PAN image data, 2) the original PAN image data and grey-level co-occurrence matrix texture created from the PAN data, and 3) the enhanced PAN image data using an edgesharpening filter. The classification results were assessed with reference to the results derived from manual digitization and random checkpoints. Generally, the results showed improvement of the calculation of flood area when an edge-sharpening filter was used. In addition, the maximum likelihood classifier yielded the best classification accuracy (up to 97%) compared to the other two classifiers. The research demonstrates the benefits of using PAN satellite imagery as a potential data source for flood hazard assessment. 2012 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47425142010 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.6 Vol.10 |
| format | Artículo científico |
| id | redalyc_47425142010 |
| institution | Redalyc |
| language | en |
| publishDate | 2012 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Panchromatic Satellite Image Classification for Flood Hazard Assessment Ahmed Shaker Ingeniería texture analysis Panchromatic imagery image classification flood hazard assessment Panchromatic Satellite Image Classification for Flood Hazard Assessment Ahmed Shaker Wai Yeung Yan Nagwa El-Ashmawy Ingeniería texture analysis Panchromatic imagery image classification flood hazard assessment The study aims to investigate the use of panchromatic (PAN) satellite image data for flood hazard assessment with an aid of various digital image processing techniques. Two SPOT PAN satellite images covering part of the Nile River in Egypt were used to delineate the flood extent during the years 1997 and 1998 (before and after a high flood). Three classification techniques, including the contextual classifier, maximum likelihood classifier and minimum distance classifier, were applied to the following: 1) the original PAN image data, 2) the original PAN image data and grey-level co-occurrence matrix texture created from the PAN data, and 3) the enhanced PAN image data using an edgesharpening filter. The classification results were assessed with reference to the results derived from manual digitization and random checkpoints. Generally, the results showed improvement of the calculation of flood area when an edge-sharpening filter was used. In addition, the maximum likelihood classifier yielded the best classification accuracy (up to 97%) compared to the other two classifiers. The research demonstrates the benefits of using PAN satellite imagery as a potential data source for flood hazard assessment. 2012 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47425142010 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.6 Vol.10 |
| title | Panchromatic Satellite Image Classification for Flood Hazard Assessment |
| topic | Ingeniería texture analysis Panchromatic imagery image classification flood hazard assessment |
| url | https://www.redalyc.org/articulo.oa?id=47425142010 |