THE OPTIMAL METHOD FOR CLASSIFYING HIGH RESOLUTION SATELLITE IMAGES IN EGYPT ENVIRONMENT | ||||
| JES. Journal of Engineering Sciences | ||||
| Article 8, Volume 42, No 4, July and August 2014, Page 1106-1121 PDF (370.95 K) | ||||
| Document Type: Research Paper | ||||
| DOI: 10.21608/jesaun.2014.115045 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Faten A. Mostafa1; Yasser G. Mostafa 2; Mohamed A. Yousef1
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| 1Mining and Metallurgy Eng. Dpt. Faculty of Engineering, Assiut University | ||||
| 2Civil Eng. Dpt. Faculty of Engineering, Sohag University | ||||
| Abstract | ||||
| The remote sensing society is currently offering a wide variety of digital images that cover most of the Earth’s surface. The up-to-date image data is a promising tool for producing accurate maps. To maximize the benefit of such data, automatic and efficient classification methods are investigated. For the past years, traditional pixel-based classification has been used. Currently, a recent classification concept, object-based classification, has been prospected. The recent concept’s basic principle is to make use of important information (shape, texture and contextual information) which is only in meaningful image objects and their mutual relationships. The main aim of the present work is to find the most suitable technique from the available ones for feature extraction which can be applied for Egyptian environment. For this study, high resolution satellite image from IKONOS satellite was used to carry out the image classifications. The ground reference data were collected from field observations and personal knowledge. At the present work, the methodology focuses on comparing between two classifications techniques through application on four test areas with different specifications with respect to its planning. The first technique is the traditional pixel-based image analysis and the second one is the object-oriented image analysis. Software ERDAS V.9.2 was used for pixelbased image analysis and classification. The object-oriented image classification was performed through eCognition Developer software V.8.0. Accuracy of each one of both techniques was evaluated through overall accuracy and kappa coefficient from the error matrix and then compared to each other. Results of this work showed that object-based image analysis has more advantages than the Pixel-based one. Also, it is found that as the more planned area as the higher results accuracy. | ||||
| Keywords | ||||
| Pixel-based analysis; Object-based analysis; Classification; Segmentation | ||||
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