Improving LiDAR classification accuracy by contextual label smoothing in post-processing
Sign Up to like & getrecommendations! Published in 2019 at "ISPRS Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2018.11.022
Abstract: Abstract We propose a contextual label-smoothing method to improve the LiDAR classification accuracy in a post-processing step. Under the framework of global graph-structured regularization, we enhance the effectiveness of label smoothing from two aspects. First,… read more here.
Keywords: label; accuracy; contextual label; label smoothing ... See more keywords
Hyperspectral and LiDAR Classification With Semisupervised Graph Fusion
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2928009
Abstract: To fuse hyperspectral and Light Detection And Ranging (LiDAR), we propose a semisupervised graph fusion (SSGF) approach. We apply morphological filters to LiDAR and the first few components of hyperspectral data to model the height… read more here.
Keywords: semisupervised graph; lidar; fusion; hyperspectral lidar ... See more keywords