Satellite Image Classification using Fuzzy Logic
Vini Malik1, Aakanksha Gautam2, Aditi Sahai3, Ambika Jha4, AnkitaRamvir Singh5
1Vini Malik, Department of Electronics and Communication, Uttar Pradesh Technical University, Greater Noida (Uttar Pradesh), India.
2Aakanksha Gautam, Department of Electronics and Communication, Uttar Pradesh Technical University, Greater Noida (Uttar Pradesh), India.
3Aditi Sahai, Department of Electronics and Communication, Uttar Pradesh Technical University, Greater Noida (Uttar Pradesh), India.
4Ambika jha, Department of Electronics and Communication, Uttar Pradesh Technical University, Greater Noida (Uttar Pradesh), India.
5Ankita Ramveer Singh, Department of Electronics and Communication, Uttar Pradesh Technical University, Greater Noida (Uttar Pradesh), India.
Manuscript received on 21 May 2013 | Revised Manuscript received on 28 May 2013 | Manuscript published on 30 May 2013 | PP: 204-207 | Volume-2 Issue-2, May 2013 | Retrieval Number: B0642052213/2013©BEIESP
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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: The intent of the classification process is to categorize all pixels in a digital image into one of several land cover classes, or “themes”. In this paper, fuzzy inference system is developed for classifying the satellite image of (472x546x7 pixel).The input image from the satellite was in form of 7 bands which were then reduced to 3 bands.
Keywords: Classification, Fuzzy Logic, If-Then Rules, Land Cover, Remote Sensing
Scope of the Article: Classification