Yichao Chen

ORCID: 0000-0002-1961-4921
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About
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Research Areas
  • Remote-Sensing Image Classification
  • Image Processing Techniques and Applications
  • Infrared Target Detection Methodologies
  • Advanced Vision and Imaging
  • Advanced Image Fusion Techniques
  • Reinforcement Learning in Robotics
  • Guidance and Control Systems
  • Advanced Image and Video Retrieval Techniques
  • Optical Systems and Laser Technology
  • Advanced Measurement and Detection Methods
  • Optical and Acousto-Optic Technologies
  • Calibration and Measurement Techniques
  • Spectroscopy and Laser Applications
  • Optical measurement and interference techniques
  • Image Enhancement Techniques
  • Robotic Path Planning Algorithms

Southwest University of Science and Technology
2023

PLA Army Engineering University
2019-2020

Ordnance Engineering College
2015

The ultra-field infrared and visible image registration is a challenging task due to its nonlinear imaging multi-modal features. In this paper, robust method proposed for the images. First, control points are extracted utilizing phase congruency optimized based on guidance map, which according significant structures information. Second, ROI pair matching accomplished epipolar curve. Its effect equivalent search window that popular in methods with standard field of view, it can overcome...

10.1364/oe.391672 article EN cc-by Optics Express 2020-06-19

The multi-modal image fusion plays an important role in various fields. In this paper, a novel method based on robust principal component analysis (RPCA) is proposed, which consists of low-rank components and sparse fusion. the part, universal dictionary constructed for representation (SR) converted to coefficients by adopting batch-OMP. anisotropic weight map express salient structures images. Moreover, multi-scale guided measure proposed guide process, can extract preserve scale-aware...

10.1109/access.2020.2973269 article EN cc-by IEEE Access 2020-01-01

In order to overcome the shortcomings of traditional vision methods in field vehicle driving assistance, include visible light imaging system is vulnerable influence illumination conditions and small view (FOV) has a large blind area, this paper proposed an environmental perception method based on ultra-wide FOV infrared system. However, due compression Ultra-wide lens, target occupies fewer pixels, detection distance greatly limited. Therefore, studies feasibility application auxiliary from...

10.1117/12.2564386 article EN Sixth Symposium on Novel Optoelectronic Detection Technology and Applications 2020-04-17

With the development of autonomous control system technology unmanned aerial vehicle (UAV), application UAV in air combat is increasing. In future, intelligent warfare represented by will completely change form traditional warfare, and become dominant combat. The problem dogfight most challenging research direction short-range This paper proposes a model based on deep reinforcement learning. Firstly, dynamics kinematics are modeled, reasonable reward function designed for dogfight. Secondly,...

10.1109/mlccim60412.2023.00018 article EN 2023-07-25

Experimental program is designed to analyze the radiation and absorption characteristic of sky background at near-infrared Oxygen A band passive ranging based on spectral absorption; an acousto-optic tunable hyper imaging spectrometer used as measuring device. Under condition sunny, cloudy, snowy weather, distribution collected using spectrometer. Then rate calculated according principle spectrum ranging. The measurement result shows: lines exist in band, rates are different weather...

10.1117/12.2196928 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2015-10-08
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