Abstract
Thermal hyperspectral imaging (THI) extends the activities of automatic spectral based target detection to the thermal infrared spectral range. This imaging technique which allows the detection of targets regardless of illumination, unfortunately, frequently suffers from high false alarm rates due to the high noise contained in the image. This study develops a new Normalised Difference Thermal Index NDTIMM which allows the physics -based segmentation of Man-Made objects in the scene. This index produces quick and efficient separation of man-made objects containing silicate minerals from other natural and man-made materials. The change detectors are spatially adapted to segments which present different NDTIMM ratios. As a result, the scene is enhanced and the performances of change detection methods which are based on NDTIMM segments distance are significantly improved.
| Original language | English |
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| Title of host publication | 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings |
| Pages | 2196-2199 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia Duration: 21 Jul 2013 → 26 Jul 2013 |
Publication series
| Name | International Geoscience and Remote Sensing Symposium (IGARSS) |
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Conference
| Conference | 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 |
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| Country/Territory | Australia |
| City | Melbourne, VIC |
| Period | 21/07/13 → 26/07/13 |
Keywords
- Thermal hyperspectral
- change detection
- man-made object
- segmentation
- target detection