Abstract
In attempt to supply a reasonable fire plume detection, multinational cooperation with significant capital is invested in the development of two major Infra-Red (IR) based fire detection alternatives, single-color IR (SCIR) and dual-color IR (DCIR). False alarm rate was expected to be high not only as a result of real heat sources but mainly due to the IR natural clutter especially solar reflections clutter. SCIR uses state-of-the-art technology and sophisticated algorithms to filter out threats from clutter. On the other hand, DCIR are aiming at using additional spectral band measurements (acting as a guard), to allow the implementation of a simpler and more robust approach for performing the same task. In this paper we present the basics of SCIR & DCIR architecture and the main differences between them. In addition, we will present the results from a thorough study conducted for the purpose of learning about the added value of the additional data available from the second spectral band. Here we consider the two CO2 bands of 4-5 micron and of 2.5-3 micron band as well as off peak band (guard). The findings of this study refer also to Missile warning systems (MWS) efficacy, in terms of operational value. We also present a new approach for tunable filter to such sensor.
Original language | English |
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Title of host publication | Electro-Optical Remote Sensing XI |
Editors | Ove Steinvall, Gary Kamerman |
Publisher | SPIE |
ISBN (Electronic) | 9781510613324 |
DOIs | |
State | Published - 2017 |
Event | Electro-Optical Remote Sensing XI 2017 - Warsaw, Poland Duration: 11 Sep 2017 → 12 Sep 2017 |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 10434 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Conference
Conference | Electro-Optical Remote Sensing XI 2017 |
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Country/Territory | Poland |
City | Warsaw |
Period | 11/09/17 → 12/09/17 |
Bibliographical note
Publisher Copyright:© 2017 SPIE.
Keywords
- Dual color sensing
- Fire detection system
- IR detection
- Remote sensing