1. A processor-implemented method for facilitating real time detection of at least one linear infrastructural object by aerial imaging, said method comprising: applying, via one or more hardware processors, a background suppression technique to a HSV image, wherein said HSV image is first converted to a grey scale image and a binary image; implementing, via the one or more hardware processors, a mean shift filtering technique to find a peak of a confidence map by using a color histogram of said HSV image; performing, via the one or more hardware processors, a gradient image generation for a plurality of edges of said HSV image using a sobel function; extracting via the one or more hardware processors a seed point pair along a middle cut portion of a linear feature of the HSV image to identify one or more boundaries of the seed point pair; initiating via the one or more hardware processors a contour growing approach to detect said one or more boundaries of the linear feature; and removing via the one or more hardware processors one or more false positives by using a rigidity feature, the rigidity feature being equivalent to the total sum of gradient orientations.