Hyperspectral Imaging for Unmanned Aerial Vehicle (UAV) and Vehicle Detection
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 356
Special Issue Editor
Interests: computer vision; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Hyperspectral images contain very rich information about the wavelengths of light, which provides signals invisible to the human eyes. Based on these benefits, hyperspectral imaging system have been attracting attention in many fields such as unmanned aerial vehicle, vehicle detection, robot, drone, military, etc. Recently, state-of-the-art technologies such as deep learning and machine learning are being applied to hyperspectral imaging systems. However, there are many issues to be solved, such as high sensor cost, insufficient data, curse of dimensionality, and different characteristics from general-purpose sensors (RGB camera or LiDAR). Furthermore, computer vision techniques based on deep learning remain still poorly investigated. In this context, we are pleased to invite researchers to suggest novel solutions for the limitations of the current hyperspectral imaging system.
The aim of this Special Issue of Sensors collects original research papers, comprehensive review articles and analysis report (with providing a new dataset) in the field of hyperspectral image for Unmanned Aerial Vehicle (UAV) and Vehicle Detection. Potential topics include but are not limited to the following:
- Hyperspectral imaging system
- Object detection for hyperspectral imaging system
- Segmentation for hyperspectral imaging system
- Small object detection
- Hyperspectral image enhancement (super-resolution, denoising, dehazing, deraining, low-light enhancement)
- Aerial image enhancement (super-resolution, denoising, dehazing, deraining, low-light enhancement)
- Data augmentation for hyperspectral imaging system
- Other Applications using hyperspectral imaging system
- Any other topics related aerial images.
Dr. Donghyeon Cho
Guest Editor
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