Satellite Image Classification Using K-Means and SVD Techniques - Al- Ghrairi, Assad
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The motivation of this book is to classify satellite image using the singular value decomposition (SVD) and K-Means techniques. All the proposed methods are consisted of two phases; the enrollment and classification. The enrollment phase aims to extract the image classes to be stored in dataset as a training data. It cannot enroll the intended dataset. The classification phase consisted of multi stages; image composition, image transform, image partitioning, feature extraction, and then image classification. The classification method used the dataset to estimate the classification feature and compute the similarity measure for each block in the image.…mehr

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Produktbeschreibung
The motivation of this book is to classify satellite image using the singular value decomposition (SVD) and K-Means techniques. All the proposed methods are consisted of two phases; the enrollment and classification. The enrollment phase aims to extract the image classes to be stored in dataset as a training data. It cannot enroll the intended dataset. The classification phase consisted of multi stages; image composition, image transform, image partitioning, feature extraction, and then image classification. The classification method used the dataset to estimate the classification feature and compute the similarity measure for each block in the image.
Autorenporträt
Mr. Assad H. Thary Al- Ghrairi is an Assistant lecturer and he has MSc and BSc in computer science from Al-Nahrain University in 2014 and 2016, respectively specializing in image processing and remote sensing. He finished high school in 2009. During the MSc and BSc study, he participated in many conferences and got certificates of acknowledgments.