Hyperspectral Remote Sensing Imaging and Processing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 13890
Special Issue Editors
Interests: remote sensing scene classification; cross-domain scene classification
Special Issues, Collections and Topics in MDPI journals
Interests: space intelligent remote sensing; multi-mode hyperspectral remote sensing; intelligent application of remote sensing big data
Special Issues, Collections and Topics in MDPI journals
Interests: hyperspectral image processing; pattern recognition
Interests: blind estimation of degradation characteristics (noise, PSF); blind restoration of multicomponent images; multimodal image correction; multicomponent image compression; multi-channel adaptive processing of signals and images; unsupervised machine learning and deep learning; multi-mode remote sensing data processing; remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Hyperspectral images can record a spectra of scenes in different electromagnetic wavelengths, which have been widely used in precision agriculture, environmental monitoring, and national defense. With the rapid progress of spectral imaging technology, temporal, spatial, and spectral resolutions have been improved. Furthermore, different remote sensing data can provide complementary characteristics for spectral imaging. Multi-source data have emerged, such as panchromatic images (PANs), multispectral images (MSIs), synthetic aperture radar (SAR), and light detection and ranging (LiDAR). However, it is difficult to handle these high-resolution hyperspectral images due to computational complexity and heterogeneous scenarios. To address the applicable problem, the characteristics of hyperspectral images should be extensively explored to develop novel theories and methods.
Therefore, this Special Issue aims to investigate latest advances and trends of hyperspectral remote sensing. Topics of interest include but are not limited to the following:
- Hyperspectral denoising and enhancement;
- Hyperspectral super-resolution and spectral unmixing;
- Hyperspectral classification, segmentation, and retrieval;
- Hyperspectral data fusion and compression;
- Hyperspectral detection and tracking;
- Hyperspectral band selection and feature extraction;
- Multi-temporal hyperspectral analysis;
- Hyperspectral applications: earth observation, precision agriculture, forest environmental monitoring, and disaster monitoring.
Dr. Xiangtao Zheng
Prof. Dr. Yanfeng Gu
Prof. Dr. Geng Zhang
Dr. Benoit Vozel
Guest Editors
Manuscript Submission Information
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Keywords
- spectral imaging
- hyperspectral image processing
- data fusion
- change detection
- machine learning
- feature extraction
- target detection and identification
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