Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IGARSS.2013.6723251 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
geophysical techniques,hyperspectral imaging,minerals,noise,object detection,remote sensing,NDTIMM ratio,NDTIMM segment distance,THI,automatic spectral based target detection activities,change detection method performances,complex urban area,enhanced scene,high false alarm rates,image high noise,imaging technique,man-made material,man-made object efficient separation,man-made object quick separation,natural material,normalised difference thermal index,physics-based segmentation,short temporal change detection,silicate minerals,spatially adapted segments,thermal hyperspectral imaging,thermal infrared spectral range,Thermal hyperspectral,change detection,man-made object,segmentation,target detection | Computer vision,Object detection,Full spectral imaging,Thermal,False alarm,Change detection,Computer science,Segmentation,Remote sensing,Hyperspectral imaging,Artificial intelligence,Detector | Conference |
ISSN | ISBN | Citations |
2153-6996 | 978-1-4799-1114-1 | 1 |
PageRank | References | Authors |
0.36 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michal Shimoni | 1 | 56 | 11.17 |
| Haelterman, R. | 2 | 1 | 0.36 |
| Christiaan Perneel | 3 | 19 | 5.03 |