Feature Extraction and Content Based Image Retrieval for High Resolution Remote Sensing Images
T Naga Raju1, Chittineni Suneetha2
1T Naga Raju, Research Scholar, Acharya Nagarjuna University, Guntur, India.
2Dr. Chittineni Suneetha, Department of MCA, RVR&JC College of Engineering, Guntur, India.
Manuscript received on 06 August 2019. | Revised Manuscript received on 13 August 2019. | Manuscript published on 30 September 2019. | PP: 8881-8884 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6677098319/2019©BEIESP | DOI: 10.35940/ijrte.C6677.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: These are the days where we are very rich in information and poor in data. This is very true in case of image data. Whether it is the case of normal images or satellite images, the image collection is very huge but utilizing those images is of least concern. Extracting features from big images is a very challenging and compute intensive task but if we realize it, it will be very fruitful. CBIR (Content Based Image Retrieval) when used with HRRS (High Resolution Remote Sensing) images will yield with effective data.
Keywords: Content Based Image Retrieval, Feature Extraction, HDFS, Map-Reduce, Remote Sensing Images.
Scope of the Article: Image Processing and Pattern Recognition