Abstract
Hyperspectral remote sensing in the thermal infrared region has been acknowledged as an innovative tool for earth environmental studies that complements the optical spectral region. The current study focuses on mapping surface mineral content using day and night airborne data in the longwave infrared (LWIR) spectral region over a well-known mineralogical site in Israel. Data were acquired with the AisaOWL hyperspectral sensor over Makhtesh Ramon in the Negev desert in southern Israel. Major minerals could be identified by locating similarities in day and night atsensor radiance spectra. The analysis resulted in the classification of quartz, carbonates, gypsum, kaolinite and other silicates according to their observed spectral features in both day and night data.
| Original language | English |
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| Title of host publication | 2014 6th Workshop on Hyperspectral Image and Signal Processing |
| Subtitle of host publication | Evolution in Remote Sensing, WHISPERS 2014 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9781467390125 |
| DOIs | |
| State | Published - 28 Jun 2014 |
| Event | 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014 - Lausanne, Switzerland Duration: 24 Jun 2014 → 27 Jun 2014 |
Publication series
| Name | Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing |
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| Volume | 2014-June |
| ISSN (Print) | 2158-6276 |
Conference
| Conference | 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014 |
|---|---|
| Country/Territory | Switzerland |
| City | Lausanne |
| Period | 24/06/14 → 27/06/14 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Keywords
- AisaOWL sensor
- Hyperspectral remote sensing
- LWIR spectral region
- Mineral mapping
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing