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Satellite Image Extraction Model for the Object Segmentation Using Integration of Texture Analysis and Artificial Intelligence

Chairuddin, K. Wikantika


The advantages of remote sensing technology abstraction within doing the estimating with pass through the object image data via the satellite vehicle is one of the alternative decision-makers in order to support geospatial information. This research was aimed to find a satellite imagery extraction multi temporal model for identification the land with segmentation process, the model system approach was used with the integration model of texture analysis that is gray level co-occurrence matrix and Haralick with the artificial intelligence namely neural networks for the pattern recognition, and fuzzy logic for identification the image segmentation process.


Gray level co-occurrence matrix, Haralick features, Neural Networks, Fuzzy clustering mean

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