An Efficient Segmentation of Remote Sensing Images For The Classification of Satellite Data Using K-Means Clustering Algorithm

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Provided by: International Journal for Innovative Research in Science and Technology (IJIRST)
Topic: Big Data
Format: PDF
Now-a-days, image plays a massive role in bringing information. Numerous amount of information has been hidden in various forms. One such image is the remote sensing image. Remote sensing images have also been used for reaching high level information. Clustering algorithms plays an important role in classifying the images for variety of information. K-means algorithm brings out the best way of classifying and segmenting the images from Quick Bird data sets and also other data sets. Three different centroids are used to classify and analyze the remote sensing images.
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