Automated extraction of fire line parameters from multispectral infrared images NEEDS FILE

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dc.contributor.author Ononye, Ambrose en_US
dc.contributor.author Vodacek, Anthony en_US
dc.contributor.author Saber, Eli en_US
dc.date.accessioned 2007-07-05T13:43:31Z en_US
dc.date.available 2007-07-05T13:43:31Z en_US
dc.date.issued 2007-07-05T13:43:31Z en_US
dc.identifier.uri http://hdl.handle.net/1850/4209 en_US
dc.description Accepted for publication in Remote Sensing of the Environment. en_US
dc.description.abstract Remotely sensed infrared images are often used to assess wildland ¯re conditions. Separately, ¯re propagation models are in use to forecast future conditions. In the Dynamic Data Driven Application System (DDDAS) concept, the ¯re propagation model will react to the image data, which should produce more accurate predictions of ¯re propagation. In this study we describe a series of image processing tools that can be used to extract ¯re propagation parameters from multispectral infrared images so that the parameters can be used to drive a ¯re propagation model built upon the DDDAS concept. The method is capable of automatically determining the ¯re perimeter, active ¯re line, and ¯re propagation direction. A multi-band image gradient calculation, the Normalized Di®erence Vegetation Index, and the Normalized Di®erence Burn Ratio along with several standard image processing techniques are used to identify and constrain the ¯re propagation parameters. These ¯re propagation parameters can potentially be used within the DDDAS modeling framework for model update and adjustment. en_US
dc.description.sponsorship This work was sponsored by NASA Grant NAG5-10051 and NSF Grant CNS-0324989. The AVIRIS images used were provided by the AVIRIS Data facility. MAS data sets were provided by NASA Langley Research Center while WASP data were provided by LIAS group at the Rochester Institute of Technology. en_US
dc.language.iso en en_US
dc.subject Fire detection en_US
dc.subject Fire monitoring en_US
dc.subject Fire propagation modeling en_US
dc.subject Image gradient en_US
dc.subject Infrared en_US
dc.title Automated extraction of fire line parameters from multispectral infrared images NEEDS FILE en_US
dc.type Article en_US

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