A5047257698- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Anomaly Detection Techniques and Applications
- Advanced Image and Video Retrieval Techniques
- Infrastructure Maintenance and Monitoring
- Image and Signal Denoising Methods
- Video Analysis and Summarization
- Pneumonia and Respiratory Infections
- Additive Manufacturing and 3D Printing Technologies
- Image Retrieval and Classification Techniques
- Face recognition and analysis
- 3D Surveying and Cultural Heritage
- Advanced Sensor and Energy Harvesting Materials
- COVID-19 diagnosis using AI
- Remote Sensing and Land Use
- Image and Object Detection Techniques
- Consumer Perception and Purchasing Behavior
- Nanomaterials and Printing Technologies
Hefei University of Technology
2021
University of Electronic Science and Technology of China
2014-2020
Guangzhou University
2018
Hyperspectral unmixing is a technique that can be used to find the materials and their corresponding proportions present in observed mixed pixels. It has been widely for hyperspectral data exploitation. Traditionally, this problem solved using constrained least squares optimization, which would lead dense solution. In recent years, researchers have number of pixel generally much smaller than whole given scene. They proposed solve through sparse approaches, optimization. These approaches...
In this article, we propose to use the L0 gradient minimization (L0 GM) sparse smoothing technique as an image preprocessing method for hyperspectral data classification. This can enhance fundamental constituents while diminishing insignificant details in images. We performed experiments and provided a comparative analysis on real benchmark scene with two classical classifiers (k-nearest neighbour classifier support vector machine classifier). The experimental results show that GM is...
A relevance feedback (RF) technique for improving the effectiveness of content based image retrieval using MPEG-7 dominant color descriptor (DCD) is proposed in this paper. It uses a merged palette histogram (MPH) generating new query DCD from relevant set. The MPH approach can generate natural that represent selected images. method has been implemented on XM platform with use common dataset. MPH-RF different similarity measures demonstrated by experimental results terms averaged normalized...