Multispectral fusion of quasi-images of THz, IR, and microwave sensors using the method of histograms of oriented gradients
In this paper, an approach to solving the problem of multispectral synthesis of quasi-images of THz, IR, and microwave sensors (data channels) to extract informative features from experimental data recorded from subsurface objects is considered. The unified data preprocessing pipeline for each data channel was proposed. The hybrid scheme for scaling heterogeneous data was implemented by extracting gradient maps from quasi-images using the method of histograms of oriented gradients. Further fusion of homogeneous data was carried out by construction of a 3-dimensional manifold using pairwise correlation of calculated gradient maps.
Keywords
THz spectroscopy,
IR spectroscopy,
microwave spectroscopy,
fusion of heterogeneous data,
method of histograms of oriented gradients,
machine learning,
remote sensingAuthors
| Tretyakov Akim K. | Tomsk State University | dr.akim1998@yandex.ru |
| Makhmanazarov Ramdas M. | Tomsk State University | efemberg11@mail.ru |
| Vrazhnov Denis A. | Tomsk State University | vda@mail.tsu.ru |
| Kistenev Yury V. | Tomsk State University | yuk@iao.ru |
| Shipilov Sergey E. | Tomsk State University | s.shipilov@gmail.com |
Всего: 5
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