Land-use and Water body Delineation of Chennai and Kerala Lake with PSO, CSO and FCM

Delineation of land cover, and water body is challenging because of mixed pixels near the boundary regions of different land elements. The delineation near the boundary regions in Landsat and Sentinel images aid in remote monitoring. The traditional measuring methods from images shows inaccurate values due to mixed pixels of land cover edges. This study aims to present stable and exact systems for waterbody and land cover delineation in Landsat and Sentinel images using efficient meta heuristic algorithms. In this study, Landsat and Sentinel images are chosen from different areas in Chennai and Kerala region. The water bodies and land cover in images delineate by CAT Swarm Optimisation (CSO) algorithm. The CSO algorithm delineates the water body and land cover by seeking and tracking modes. The CSO provides accurate delineation with 85% accuracy compared to traditional Particle Swarm Optimization (PSO) algorithm and Fuzzy C means clustering (FCM).