Abstract: Remote sensors generates the huge amount of data from satellites. Nowadays, there is a large demand for real-time data for remote sensing applications and to extract useful information from the satellite image. This paper examines different mining approaches in various satellite image applications. A two level merging approach is used to extract the sea area. But, the performance is lower due to the lack of feature extraction. The hierarchical region merging approach is used to automatically extract the sea and land area. The merging approach can be better characterized by supervised information combined with the feature extraction...............
Keywords:- Hadoop Distributed File System (HDFS), Synthetic Aperture Radar (SAR), Scale Invariant Feature Transform (SIFT), LANDSAT, Remote data.
[1] A. Paul, J. Wu, J.-F. Yang, and J. Jeong,"Gradient-based edge detection for motion estimation in H.264/AVC," , IET Image Processing, vol. 5, no. 4, pp. 323327, Jun. 2011.
[2] J. Shi, J. Wu, A. Paul, L. Jiao, and M. Gong, "Change detection in synthetic aperture radar image based on fuzzy active contour models and genetic algorithms " , Math. Prob. Eng, vol. 2014, 15 pp, April 2014.
[3] Tanuja A, Swetha Ramana , VTU Belgaum, India, "Analyzing Big Data using Hadoop " , International Journal for Innovative Research in Science and Technology, Volume 3, Issue 03, August 2016.
[4] A. Labrinidis and H. V. Jagadish, "Challenges and opportunities with Big Data " , in procedings of 38 th International Conference on Very Large Data Bases Endowment, Turkey, Aug. 2731, 2012, vol. 5, no. 12, pp. 20322033.