De-Yong Lu

ORCID: 0000-0002-3069-1207
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About
Contact & Profiles
Research Areas
  • Sparse and Compressive Sensing Techniques
  • Infrared Target Detection Methodologies
  • Advanced Image Processing Techniques
  • Advanced SAR Imaging Techniques
  • Numerical methods in inverse problems
  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Ultrasound Imaging and Elastography
  • Thermography and Photoacoustic Techniques
  • Optical Systems and Laser Technology
  • Calibration and Measurement Techniques
  • Microwave Imaging and Scattering Analysis

National University of Defense Technology
2022-2024

China Aerodynamics Research and Development Center
2013-2024

Lanzhou University
2012-2013

The restoration of images corrupted by blurring and multiplicative noise is a challenging problem in applied mathematics that has attracted much attention recent years. In this article, we propose two-step approach to solve the restoring degraded blurring, where first reduced nonlocal filters then convex variational model adopted obtain final restored images. second step composed an $L_1$-$L_2$ data-fidelity term total variation regularization term. alternating direction method (ADM)...

10.1137/120898693 article EN SIAM Journal on Scientific Computing 2013-01-01

10.1109/jstars.2024.3491221 article EN cc-by-nc-nd IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2024-01-01

10.1016/j.cam.2016.02.013 article EN Journal of Computational and Applied Mathematics 2016-02-20

Small target detection is a crucial and challenging task in infrared search track system. Background estimation-based methods an effective important approach for small detection. Affected by the pixels, existing background estimation may reconstruct inaccurate background. Based on image inpainting technique, we propose novel two-stage to predict more accurate backgrounds. At first stage, inner outer window-based (IOWII) used obtain rough estimation. Then mask of candidate region...

10.1109/jstars.2022.3200380 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2022-01-01

10.1016/j.cam.2012.07.025 article EN publisher-specific-oa Journal of Computational and Applied Mathematics 2012-07-25

Infrared small target detection is an important and core problem in infrared search track systems. Many methods work well under the premise of a static background; however, effect decreases seriously when background changes dynamically. In addition, spatiotemporal information image sequence are not fully developed utilized, lacking long-term temporal characteristics. To solve these problems, novel spatial–temporal tensor (LSTT) model proposed this paper. The registration technique employed...

10.3390/rs16152746 article EN cc-by Remote Sensing 2024-07-27
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