Inferring Ground Truth from Subjective Labelling of Venus Images

Abstract

In remote sensing applications "ground-truth" data is often used as the basis for training pattern recognition algorithms to generate thematic maps or to detect objects of interest. In practical situations, experts may visually examine the images and provide a subjective noisy estimate of the truth. Calibrating the reliability and bias of expert labellers… (More)

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@inproceedings{Smyth1994InferringGT, title={Inferring Ground Truth from Subjective Labelling of Venus Images}, author={Padhraic Smyth and Usama M. Fayyad and Michael C. Burl and Pietro Perona and Pierre Baldi}, booktitle={NIPS}, year={1994} }