Hyperspectral Imaging: Technologies and Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (15 December 2025) | Viewed by 7707
Editor
Interests: CV; NLP; LLM; RAG; telemedicine; AI; ML; Edge AI; TinyML
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Hyperspectral imaging (HSI) has emerged as a transformative technology, enabling the acquisition and analysis of data across a wide spectrum of wavelengths beyond the visible range. By capturing spatial and spectral information simultaneously, HSI offers unprecedented potential for applications in diverse fields such as environmental monitoring, precision agriculture, remote sensing, medical diagnostics, material inspection, and defense.
The integration of advanced machine learning algorithms and signal processing techniques with hyperspectral data has further enhanced its capabilities, enabling more accurate classification, detection, and prediction. This Special Issue aims to provide a comprehensive overview of recent advancements, novel methodologies, and innovative applications of hyperspectral imaging, fostering interdisciplinary collaboration and inspiring future research in this domain.
We welcome contributions that address challenges such as real-time data processing, miniaturization of hardware, efficient feature extraction, and the development of robust models for hyperspectral data interpretation. Submissions may include original research articles, review papers, and case studies that demonstrate the utility of hyperspectral imaging in solving complex real-world problems.
Key topics of interest include, but are not limited to, the following:
- Novel hyperspectral imaging systems and hardware innovations;
- Data compression, enhancement, and denoising techniques;
- Applications of HSI in agriculture, environmental science, and healthcare;
- Machine learning and AI for hyperspectral data analysis;
- Remote sensing and Earth observation advancements;
- Real-time and embedded HSI processing systems.
This Special Issue seeks to highlight the multifaceted impact of hyperspectral imaging and to provide a platform for researchers and practitioners to share their findings, fostering the growth and adoption of this technology across various disciplines.
Dr. Krzysztof Wolk
Guest Editor
Manuscript Submission Information
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Keywords
- hyperspectral imaging (HSI)
- remote sensing
- precision agriculture
- environmental monitoring
- medical diagnostics
- machine learning
- data processing
- feature extraction
- spectral analysis
- imaging systems
- signal processing
- material inspection
- real-time processing
- miniaturization of hardware
- artificial intelligence (AI)
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