Detection of Manhole Covers in High-Resolution Aerial Images of Urban Areas by Combining Two Methods PROJECT TITLE :Detection of Manhole Covers in High-Resolution Aerial Images of Urban Areas by Combining Two MethodsABSTRACT:Mispositioning of buried utilities is an increasingly important problem both in industrialized and developing countries because of urban sprawl and technological advances. However, a number of these networks have surface access traps, which could be visible on high-resolution airborne or satellite pictures and might function presence indicators. We tend to place forward a methodology to detect manhole covers and grates on very high-resolution aerial and satellite images. 2 methods are tested: the primary is predicated on a geometrical circular filter, whereas the second one uses Machine Learning to retrieve some patterns. The results are compared and combined to benefit from the 2 approaches. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Assessment of LTE Wireless Access for Monitoring of Energy Distribution in the Smart Grid A Kalman Filter-Based Blind Adaptive Multi-User Detection Algorithm for Underwater Acoustic Networks
