ICCK

Fengbao Yang

School of Information and Communication Engineering, North University of China, Taiyuan 030051, China

Section 01

Academic Profile

Fengbao Yang received his Ph.D. degree in measurement technology and instrument from North University of China, Taiyuan, China, in 2003. From 2004 to2007, he was a post-doctoral research fellow with the Beijing Institute of Technology. He is a full professor at North University of China. He is a Fellow of the information fusion branch of the China Society of Aeronautics and Astronautics. Now, he is the leader of the Institute of Information Fusion and Recognition Technology at the North University of China. He has published approximately 100 papers in the information fusion and image processing journals and eight books on uncertain information reasoning methods and infrared technology. His current research interests include information fusion, performance detection and evaluation of complex systems, and information fusion theory of uncertainty.

Section 02

Editorial Roles

This user currently does not serve as an editor for any ICCK journals.

Section 03

ICCK Publications

Open Access | Research Article | 17 April 2026
Salient Feature-Driven Bimodal Video Mimic Fusion Algorithm
Chinese Journal of Information Fusion | Volume 3, Issue 2: 74-92, 2026 | DOI: 10.62762/CJIF.2025.874404
Abstract
In complex dynamic environments, infrared and visible video sequences exhibit highly variable and unpredictable feature distributions. Existing fusion algorithms with fixed architectures cannot adaptively respond to these dynamic feature changes, resulting in blurred fusion outcomes and the loss of critical detail information. To address this limitation, we propose a salient feature-driven mimic fusion algorithm that continuously monitors feature variations and dynamically reconfigures the fusion architecture to maintain optimized fusion performance. First, we extract amplitude and frequency attributes from infrared and visible video features and perform weighted fusion to calculate single-m... More >

Graphical Abstract
Salient Feature-Driven Bimodal Video Mimic Fusion Algorithm
Open Access | Research Article | 27 September 2024 | Cited: Crossref logo  3 , Scopus 1
A High-Efficiency Two-Layer Path Planning Method for UAVs in Vast Airspace
Chinese Journal of Information Fusion | Volume 1, Issue 2: 109-125, 2024 | DOI: 10.62762/CJIF.2024.596648
Abstract
Facing the challenges of low efficiency and poor quality in UAV 3D path planning within large-scale airspace complex environments, this paper introduces a divide-and-conquer approach, proposing a dual-layer path planning method based on multi-source information fusion. The method decomposes traditional path planning into two steps: heading planning and trajectory planning, ensuring both planning efficiency and path quality. This method segregates the solution process into two distinct stages: heading planning and path planning, thereby ensuring the planning of both efficiency and path quality. Firstly, the path planning phase is formulated as a multi-objective optimization problem, taking in... More >

Graphical Abstract
A High-Efficiency Two-Layer Path Planning Method for UAVs in Vast Airspace
Author's Talk | Open Access | Research Article | Feature Paper | 28 May 2024 | Cited: Crossref logo  11 , Scopus 12
A Mimic Fusion Algorithm for Dual Channel Video Based on Possibility Distribution Synthesis Theory
Chinese Journal of Information Fusion | Volume 1, Issue 1: 33-49, 2024 | DOI: 10.62762/CJIF.2024.361886
Abstract
In response to the current practical fusion requirements for infrared and visible videos, which often involve collaborative fusion of difference feature information, and model cannot dynamically adjust the fusion strategy according to the difference between videos, resulting in poor fusion performance, a mimic fusion algorithm for infrared and visible videos based on the possibility distribution synthesis theory is proposed. Firstly, quantitatively describe the various difference features and their attributes of the region of interest in each frame of the dual channel video sequence, and select the main difference features corresponding to each frame. Secondly, the pearson correlation coeffi... More >

Graphical Abstract
Author's Talk
A Mimic Fusion Algorithm for Dual Channel Video Based on Possibility Distribution Synthesis Theory
A Mimic Fusion Algorithm for Dual Channel Video Based on Possibility Distribution Synthesis Theory