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@article{170715,
        author = {Doddamani Basavaraj and Shivabasayya Kulkarni and Siddalingeshwar Patil},
        title = {Image based Remote Sensing Analysis using Hadoop Platform},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {293-297},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170715},
        abstract = {Image processing algorithms related to multiple large images have been tested and utilized on the Hadoop MapReduce in parallel. Although there has been considerable research utilizing the Hadoop platform for image processing rather than for its original purpose of text processing, it had never been proved that Hadoop can be successfully utilized for high-volume image files. Hence, the successful utilization of Hadoop for image processing has been researched using three different practical image processing algorithms. We extend the file approach in Hadoop to regard the whole JPG image file as a unit by expanding the file format that Hadoop uses. Experiments have shown that the method is scalable and efficient in processing multiple large images, and the difference between the non hadoop runtime and the Hadoop runtime is clearly noticeable.},
        keywords = {Hadoop, MapReduce, Remote Sensing, Image Processing.},
        month = {December},
        }