کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4458842 1621238 2015 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Simulation of fire detection by infrared imagers from geostationary satellites
ترجمه فارسی عنوان
شبیه سازی تشخیص آتش با استفاده از تصویرگرهای مادون قرمز از ماهواره های ژئواستریتیک
کلمات کلیدی
شبیه سازی دستگاه به پایان رساندن، الزامات ابزار / ماموریت، تشخیص آتش، تصویرگرهای مادون قرمز
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
چکیده انگلیسی


• An end to end fire detection algorithm from geostationary satellite has been implemented.
• The MSG SEVIRI & MTG FCI payloads IR bands NeDT & IFOV performance have been simulated.
• A fire detection algorithm & the statistic of signal hidden in background have been simulated.
• The minimum & maximum fire temperature & area are in agreement with literature.
• A traceable link between instrument parameters and applications (fire detection) is established.

Forest fire detection in real time from geostationary satellite is very useful for early warning intervention and monitoring in all European countries. The use of infrared sensors is a well-known technique to detect high temperature events at sub-pixel level. An end to end simulation model quantitatively linking the user requirements with the instrument design parameters has been developed and applied to the European MSG SEVIRI imagery, allowing an evaluation of the minimum and the maximum detectable active fire area and temperature and giving results in agreement with literature data. A parametric analysis as a function of the instrument Instantaneous Field Of View has also been performed in order to evaluate preliminary results for the imager foreseen to be embarked in the European MTG platform. This end-to-end model can be useful to evaluate the capability of the fire detection for other satellite infrared payloads particularly during the phase 0-A of a space project when it is necessary to understand the possible impacts of the scientific requirements on the instrument sizing.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 162, 1 June 2015, Pages 84–98
نویسندگان
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