Enhanced Clustering Method for Segmentation of Hyperspectral Satellite Images

In this manuscript, it has been demonstrated that segmentation progress can be monitored on hyperspectral remote sensing satellite images. A novel procedure using K-Means' method of seeding with care for splitting hyperspectral satellite images was devised. With its help, reduction bands on scenes were performed using narrowing regions exhibiting most variance across each cluster and finally segmentation process via Particle Swarm Cluster [PSC] was employed on reduced bands; also, statistical analysis of effect was employed when testing set ups related to these procedures was also employed;