Hyperspectral Imagery Noisy Label Detection by Spectral Angle Local Outlier Factor
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2842792
Abstract: This letter presents the hyperspectral imagery (HSI) noisy label detection using a spectral angle and the local outlier factor (SALOF) algorithm. The noisy label is caused by a mislabeled training pixel, and thus, noisy training… read more here.
Keywords: label detection; detection; training samples; spectral angle ... See more keywords
Hyperspectral Classification With Noisy Label Detection via Superpixel-to-Pixel Weighting Distance
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2961141
Abstract: Classification is an important technique for remotely sensed hyperspectral image (HSI) exploitation. Often, the presence of wrong (noisy) labels presents a drawback for accurate supervised classification. In this article, we introduce a new framework for… read more here.
Keywords: superpixel pixel; distance; noisy label; label detection ... See more keywords