SAR target recognition using parametric supervised t-stochastic neighbor embedding
Sign Up to like & getrecommendations! Published in 2017 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2017.1332795
Abstract: ABSTRACT This paper proposes a new method for feature extraction of synthetic aperture radar (SAR) image based on parametric supervised t-stochastic neighbor embedding (PS-tSNE). To mitigate the rejection of dissimilar targets from the same class,… read more here.
Keywords: neighbor embedding; recognition; stochastic neighbor; parametric supervised ... See more keywords
Pansharpening Via Neighbor Embedding of Spatial Details
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DOI: 10.1109/jstars.2021.3067877
Abstract: The spatial details injection model has been considered as a general framework in the literature of pansharpening, and recently there have been significant advances in this framework based on sparse representation (SR) of spatial details.… read more here.
Keywords: spatial details; pansharpening via; neighbor embedding; injection ... See more keywords
On the Use of t-Distributed Stochastic Neighbor Embedding for Data Visualization and Classification of Individuals with Parkinson's Disease
Sign Up to like & getrecommendations! Published in 2018 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2018/8019232
Abstract: Parkinson's disease (PD) is a neurodegenerative disorder that remains incurable. The available treatments for the disorder include pharmacologic therapies and deep brain stimulation (DBS). These approaches may cause distinct side effects and motor responses. This… read more here.
Keywords: classification; neighbor embedding; distributed stochastic; data visualization ... See more keywords