A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is
This letter presents a benchmarking study for aerial image segmentation. We construct an image data set consisting of various aerial scenes. Segmentations generated by different human subjects are used as ground truth. We analyze the consistency between segmentations from different subjects. We select six leading segmentation algorithms, which include not only the algorithms specifically designed for aerial images but also more generally applicable algorithms. We also select a recently proposeddoi:10.1109/lgrs.2013.2261453 fatcat:xk6yi3f7bndrxp65c6rfnoqxsy