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Advanced Technologies and Applications of Hyperspectral Images

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (15 October 2023) | Viewed by 505

Special Issue Editors

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Guest Editor
School of Information Science and Technology, Donghua University, Shanghai 201620, China
Interests: image processing; pattern recognition; hyperspectral data analysis and processing; multi-source information fusion and application
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Embedded Systems Engineering, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Republic of Korea
Interests: remote sensing; deep learning; artificial intelligence; image processing; signal processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Within the past several decades, owing to the improvement of the ability and performance of imaging sensors, spectral imaging technology has significantly enhanced observation abilities in various areas. By providing the spectral information and spatial structure features of objects simultaneously, hyperspectral imagery has proved to be a more effective technique for land-cover classification and ground-object detection than conventional single- and multi-band images. However, hyperspectral imagery suffers from a series of problems in practice, such as high dimensions, data redundancy, spectral mixing, etc. This has inspired a great deal of valuable hyperspectral image-related research. This Special Issue aims to support the development and collection of new proposals about hyperspectral image processing and applications. We welcome contributions in all fields of hyperspectral imagery, including sensor technology, imaging systems, image-processing algorithms, applications, as well as the summarization of developments in hyperspectral imagery. The topics include, but are not limited to:

  • Hyperspectral imaging systems;
  • Hyperspectral data feature extraction;
  • Hyperspectral unmixing and super-resolution;
  • Hyperspectral image classification;
  • Data fusion of hyperspectral and other data types;
  • Target detection and recognition;
  • Machine-learning-based techniques;
  • Hyperspectral image applications in agriculture, water pollution, etc.

Dr. Xiaochen Lu
Dr. Gwanggil Jeon
Guest Editors

Manuscript Submission Information

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Published Papers

There is no accepted submissions to this special issue at this moment.
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