A Triplet Semisupervised Deep Network for Fusion Classification of Hyperspectral and LiDAR Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3213513
Abstract: Data fusion of hyperspectral and light detection and ranging (LiDAR) is conducive to obtain more comprehensive surface information and thereby achieve better classification result in Earth monitoring systems. However, lack of labeled samples usually limits… read more here.
Keywords: network; fusion; classification; lidar ... See more keywords
Robust Semisupervised Deep Generative Model Under Compound Noise.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3105080
Abstract: Semisupervised learning has been widely applied to deep generative model such as variational autoencoder. However, there are still limited work in noise-robust semisupervised deep generative model where the noise exists in both of the data… read more here.
Keywords: semisupervised deep; deep generative; variational autoencoder; generative model ... See more keywords