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Yantao Wei
Researcher at Central China Normal University
Publications - 50
Citations - 1907
Yantao Wei is an academic researcher from Central China Normal University. The author has contributed to research in topics: Feature extraction & Hyperspectral imaging. The author has an hindex of 14, co-authored 50 publications receiving 1089 citations. Previous affiliations of Yantao Wei include College of Information Technology & Huazhong University of Science and Technology.
Papers
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Journal ArticleDOI
A Local Contrast Method for Small Infrared Target Detection
TL;DR: An effective small target detection algorithm inspired by the contrast mechanism of human vision system and derived kernel model is presented, which can improve the SNR of the image significantly.
Journal ArticleDOI
Multiscale patch-based contrast measure for small infrared target detection
Yantao Wei,Xinge You,Hong Li +2 more
TL;DR: Experimental results on three sequences demonstrate that the proposed small target detection method can not only suppress background clutter effectively even if with strong noise interference, but also detect targets accurately with low false alarm rate and high speed.
Journal ArticleDOI
Learning Hierarchical Spectral–Spatial Features for Hyperspectral Image Classification
Yicong Zhou,Yantao Wei +1 more
TL;DR: Compared with state-of-the-art methods, SSN with a deep hierarchical architecture obtains higher classification accuracy in terms of the overall accuracy, average accuracy, and kappa (κ) coefficient of agreement, especially when the number of the training samples is small.
Journal ArticleDOI
High-Boost-Based Multiscale Local Contrast Measure for Infrared Small Target Detection
TL;DR: Experimental results on three real image sequences demonstrate that the proposed high-boost-based multiscale local contrast measure can effectively detect the target with faster speed, higher detection rate, and lower FAR compared with the state-of-the-art methods.
Journal ArticleDOI
Infrared moving point target detection based on spatial–temporal local contrast filter
TL;DR: The experimental results show that the proposed spatial–temporal local contrast filter (STLCF) has great superiority in moving point target detection.