DocumentCode :
152892
Title :
Forest fire damage assessment using Object Based Image Analysis
Author :
Kugu, Emin ; Kisa, Akin
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Hava Harp Okulu, İstanbul, Turkey
fYear :
2014
fDate :
23-25 April 2014
Firstpage :
1782
Lastpage :
1785
Abstract :
In recent years, developments in satellite and sensor technology brought new technologies for the assessment of the information obtained through these new sensors. One of these technologies is the Object Based Image Analysis (OBIA) technology which allows you to make various queries on the high resolution satellite or aerial images. In this work, a damage assessment have been conducted by using object based image analysis method on a high resolution aerial image taken after a forest fire. The eCognition software which provides the object based image analysis opportunities is used in the work and the results revealed that how this software can make such flexible queries. It is possible to make various analysis on the classes obtained by the pixel based segmentation process. In this study, a small part of a large area of a high resolution aerial image is subjected to an object based analysis through the eCognition software and the size of the fire damaged area was uncovered. The analysis of the whole fire area can be obtained after applying the rule base, acquired from this process, on the whole image.
Keywords :
fires; forestry; geophysical image processing; image resolution; image retrieval; image segmentation; remote sensing; sensors; OBIA technology; eCognition software; fire damaged area; flexible queries; forest fire damage assessment; high resolution aerial image; information assessment; object based image analysis; pixel based segmentation process; resolution satellite; rule base; satellite technology; sensor technology; Conferences; Fires; Image analysis; Image resolution; Remote sensing; Satellites; Signal processing; Forest fire; damage assessment; object based image analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
Type :
conf
DOI :
10.1109/SIU.2014.6830596
Filename :
6830596
Link To Document :
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