Abstract
The use of aerial hyperspectral imagery for the purpose of remote sensing is a rapidly growing research area. Currently, targets are generally detected by looking for distinct spectral features of the objects under surveillance. This work aims to develop improved target detection methods, using a two-stage approach, firstly by development of a physics-based atmospheric correction algorithm to convert
radiance into reflectance hyperspectral image data and secondly by use of improved spectral unmixing techniques.
radiance into reflectance hyperspectral image data and secondly by use of improved spectral unmixing techniques.
Original language | English |
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Title of host publication | Proceedings of HSI 2014, 15-16th October 2014 |
Subtitle of host publication | Hyperspectral Imaging and Applications Conference |
Place of Publication | England |
Number of pages | 2 |
Publication status | Published - Oct 2014 |
Event | Hyperspectral Imaging and Applications Conference (HSI 2014) - Ricoh Arena, Coventry, United Kingdom Duration: 15 Oct 2014 → 16 Oct 2014 |
Conference
Conference | Hyperspectral Imaging and Applications Conference (HSI 2014) |
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Country/Territory | United Kingdom |
City | Coventry |
Period | 15/10/14 → 16/10/14 |
Keywords
- hyperspectral imaging
- target detection
- remote sensing
- spectral unmixing