Object Based Change Detection for Remote Sensing Data
Khalifa, I., El Tohamy, F., Aqabat, I. (2011). Object Based Change Detection for Remote Sensing Data. EKB Journal Management System, 14(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011), 1-10. doi: 10.21608/asat.2011.23241
I. H. Khalifa; F. El Tohamy; I. H. Aqabat. "Object Based Change Detection for Remote Sensing Data". EKB Journal Management System, 14, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011, 2011, 1-10. doi: 10.21608/asat.2011.23241
Khalifa, I., El Tohamy, F., Aqabat, I. (2011). 'Object Based Change Detection for Remote Sensing Data', EKB Journal Management System, 14(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011), pp. 1-10. doi: 10.21608/asat.2011.23241
Khalifa, I., El Tohamy, F., Aqabat, I. Object Based Change Detection for Remote Sensing Data. EKB Journal Management System, 2011; 14(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011): 1-10. doi: 10.21608/asat.2011.23241

Object Based Change Detection for Remote Sensing Data

International Conference on Aerospace Sciences and Aviation Technology
Article 21, Volume 14, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011, May 2011, Page 1-10  XML PDF (737.56 K)
Document Type: Original Article
DOI: 10.21608/asat.2011.23241
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Authors
I. H. Khalifa1; F. El Tohamy2; I. H. Aqabat3
1Professor of Computer Science Faculty of Computers and Information Helwan University.
2Egyptian Armed Forces, Egypt.
3MSc. Student, Faculty of Computers and Information, Helwan University.
Abstract
Image change detection is an important application of remote sensing technology. It is a process ascertaining the changes of specific features within a certain time interval. This paper presents an object-oriented image change detection methodology to detect the changes and analyze aerial remote sensing data of Sanaa sub-area. Furthermore, the urban growth (sprawl) in the study area is monitored and analyzed. A rule-based classification technique is applied by using fuzzy functions, aiming to extract information of the urban spatial structure. Finally the classification accuracy of the used images was assessed with parameters of overall accuracy, and kappa statistic.
Keywords
Remote Sensing; Object classification; Object change detection
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