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Xianping Sun
Researcher at Chinese Academy of Sciences
Publications - 61
Citations - 1132
Xianping Sun is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Qubit & Quantum computer. The author has an hindex of 13, co-authored 61 publications receiving 714 citations. Previous affiliations of Xianping Sun include Huazhong University of Science and Technology.
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Small Infrared Target Detection Based on Weighted Local Difference Measure
TL;DR: Experimental results demonstrate that the proposed WLDM-based algorithm not only works more robustly for different cloudy-sky backgrounds, target movements, and signal-to-clutter ratio (SCR) values but also has a better performance with regard to the detection accuracy, in comparison to traditional baseline methods.
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Infrared small-target detection using multiscale gray difference weighted image entropy
TL;DR: An effective small-target detection approach based on weighted image entropy that aims to improve the signal-to-noise ratio for cases in which jamming objects in the scene have similar thermal intensity measure with respect to the background as small target is proposed.
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Entropy-based window selection for detecting dim and small infrared targets
TL;DR: An adaptive entropy-based window selection technique is adopted to construct a novel local difference measure (LDM) map of an input image, which measures the dissimilarity between the current region and its neighboring ones and can keep low false alarm rates under the same probability of detection.
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Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning
Caohui Duan,He Deng,Sa Xiao,Junshuai Xie,Haidong Li,Zhao Xiuchao,Dongshan Han,Xianping Sun,Xin Lou,Chaohui Ye,Xin Zhou +10 more
TL;DR: In this article, a deep cascade of residual dense network (DC-RDN) was developed to reconstruct high-quality DW images from highly undersampled k-space data, which is effective in accelerating multiple b-value gas DW-MRI while maintaining accurate estimation of lung microstructural morphometry.
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Image enhancement based on intuitionistic fuzzy sets theory
TL;DR: A novel image enhancement approach based on intuitionistic fuzzy sets is proposed, which first divides an image into sub-object and sub-background areas, and then successively implements new fuzzification, hyperbolisation, and defuzzification operations on each area.