Comparative Study of Remote Sensing Data Based on Genetic Algorithm

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Provided by: International Association of Engineering and Management Education (IAEME)
Topic: Big Data
Format: PDF
In data mining fields, clustering is an important issue. Clustering is a technique to groups objects based on the information found in the data describing the objects. Image segmentation is the process of partitioning a digital image into multiple segments. Some of the image segmentation techniques are edge detection, region growing and clustering etc. But it has the drawbacks like, both region boundary and edge detection based methods often fail to produce accurate segmentation results. To overcome this DBCSAN clustering algorithm was implemented.
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