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Pixel Based Approach of Unsupervised Satellite Image Classification
M.SUGANTHI, S.CHIDAMBARAM P.G Scholar, M.E.Communication System, Department of Electronics and Communication Engineering, Adhiyamaan College of Engineering, Hosur, Tamilnadu, India Assistant professor, Department Of Electronics and Communication Engineering, Adhiyamaan College of Engineering, Hosur, Tamilnadu, India
Abstract: In this project pixel-based approach for urban land covers classification from high resolution satellite image using K means clustering and ISO data clustering. Pixel based image analysis of image segmentation that is, clustering of pixels into homogenous objects, and subsequent classification or labeling of the pixels, and modeling based on the characteristics of pixels is done using MATLAB GUI model. When applied to a satellite image, the clustering algorithm approach involves two steps. First, each group or cluster is homogeneous; i.e. examples that belong to the same group are similar to each other. Second, each group or cluster should be different from other cluster, i.e. examples that belong to one cluster should be different from the examples of other clusters. The algorithm was implemented in MATLAB GUI model and was tested on remotely sensed images of different sensors, resolutions and complexity levels.
Keywords: pixel based approach, high resolution satellite image.
How to Cite:
[1] M.SUGANTHI, S.CHIDAMBARAM P.G Scholar, M.E.Communication System, Department of Electronics and Communication Engineering, Adhiyamaan College of Engineering, Hosur, Tamilnadu, India Assistant professor, Department Of Electronics and Communication Engineering, Adhiyamaan College of Engineering, Hosur, Tamilnadu, India, โPixel Based Approach of Unsupervised Satellite Image Classification,โ International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)