This report develops a method for probabilistic conceptual sensor modeling. The idea is to generate probabilities for detection, recognition and identification based on a few simple factors. The focus lies on FLIR sensors and thermal radiation, even if discussions of other wavelength bands are made. The model can be used as a hole or some or several parts can be used to create a simpler model. The core of the model is based on the Johnson criteria that uses resolution as the input parameter. Some extensions that models other factors are also implemented. In the end a short discussion of the possibility to use this model for other sensors than FLIR is made.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-4486 |
| Date | January 2005 |
| Creators | Sonesson, Mattias |
| Publisher | Linköpings universitet, Bildbehandling, Linköpings universitet, Tekniska högskolan, Institutionen för systemteknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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