1 code implementation • 31 Mar 2023 • Zhaoxu Li, Yingqian Wang, Chao Xiao, Qiang Ling, Zaiping Lin, Wei An
Trained on a set of anomaly-free hyperspectral images with random masks, our network can learn the spatial context characteristics between anomalies and background in an unsupervised way.
1 code implementation • 28 Sep 2022 • Tianhao Wu, Boyang Li, Yihang Luo, Yingqian Wang, Chao Xiao, Ting Liu, Jungang Yang, Wei An, Yulan Guo
Due to the extremely large image coverage area (e. g., thousands square kilometers), candidate targets in these images are much smaller, dimer, more changeable than those targets observed by aerial-based and land-based imaging devices.
no code implementations • 23 Oct 2021 • Yu Mo, Yingqian Wang, Chao Xiao, Jungang Yang, Wei An
Light field (LF) images can be used to improve the performance of image super-resolution (SR) because both angular and spatial information is available.
1 code implementation • 9 Aug 2021 • Yingqian Wang, Jungang Yang, Yulan Guo, Chao Xiao, Wei An
In this letter, we propose a light field refocusing method to improve the imaging quality of camera arrays.
1 code implementation • 1 Jun 2021 • Boyang Li, Chao Xiao, Longguang Wang, Yingqian Wang, Zaiping Lin, Miao Li, Wei An, Yulan Guo
With the repeated interaction in DNIM, infrared small targets in deep layers can be maintained.
1 code implementation • 31 May 2021 • Ting Liu, Jungang Yang, Boyang Li, Chao Xiao, Yang Sun, Yingqian Wang, Wei An
Considering that different singular values have different importance and should be treated discriminatively, in this paper, we propose a non-convex tensor low-rank approximation (NTLA) method for infrared small target detection.
no code implementations • 22 Jul 2020 • Wei Wang, Xiaofu Xiong, Chao Xiao, Bihui Wei
Mobile energy resources (MERs) have received increasing attention due to their effectiveness in boosting the power system resilience in a flexible way.