• AFRA FATIMA
• G. ARUNA
• K. PREMLATHA

Numerous strategies have been produced to distinguish harmed structures because of tremor. Notwithstanding, little consideration has been paid to examine somewhat influenced structures. In this letter, an unsupervised strategy is exhibited to know seismic tremor activated "rooftop openings" on rustic houses from unmanned airborne vehicle (UAV) pictures. To begin with, both orthovariety and inclination pictures are created from an organization of UAV pictures. At that point, an adjusted Chinese eatery establishment display is utilized to take in an unsupervised model of the geo-protest classes in the zone by intertwining both over portioned orthovariety and angle pictures. At long last, "rooftop gaps" on country houses are distinguished utilizing the educated model.

UAV IMAGES HAVING JOINT COLOUR AND SHAPE FEATURE TO DETECT EARTHQUAKE TRIGGERED ROOF HOLES

"UAV IMAGES HAVING JOINT COLOUR AND SHAPE FEATURE TO DETECT EARTHQUAKE TRIGGERED ROOF HOLES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.369-376, May-2019, Available :http://www.jetir.org/papers/JETIR1905351.pdf

"UAV IMAGES HAVING JOINT COLOUR AND SHAPE FEATURE TO DETECT EARTHQUAKE TRIGGERED ROOF HOLES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp369-376, May-2019, Available at : http://www.jetir.org/papers/JETIR1905351.pdf