1P.S.R. Engineering College, Department of Computer Science and Engineering, Sivakasi, Tamilnadu, India
2Manonmaniam Sundaranar University, Department of Computer Science and Engineering, Tirunelveli, Tamilnadu, India
3Sethu Institute of Technology, Department of Computer Science and Engineering, Kariyapatti, Virudhunagar, India
Online published on 13 January, 2020.
In this paper, we explore to detect the geospatial objects. The proposed system uses the Multiscale segmentation and Multiphase segmentation algorithms are used. The Multiscale segmentation is used to classify the same object into one region. The segmentation tree is build by using the taxonomic semantics. It also reduces the corrupted and background noises in remote sensing images. This algorithm yields the precision and robustness. The Multiphase segmentation algorithm is chooses a number of phases as its segments the image. This method also yields a robustness and stability. A comparative study analysis is made with both algorithms and it gives a better performance. The application of Geospatial objects is used in research and defense area.
Image segmentation, Image analysis, unsupervised learning, object detection
