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R. Wiemker, A. Speck, D. Kulbach, H. Spitzer and J. Bienlein, “Unsupervised Robust Change Detection in Multispectral Imagery Using Spectral and Spatial Features,” Proceedings of the 2nd International Airborne Remote Sensing Conference and Exhibition, San Francisco, 1997, pp. 640-647.

has been cited by the following article:

  • TITLE: Monitoring and Change Detection along the Eastern Side of Qena Bend, Nile Valley, Egypt Using GIS and Remote Sensing

    AUTHORS: Ahmed Omar Abd El-Aziz

    KEYWORDS: Sub Pixel-Change Detection

    JOURNAL NAME: Advances in Remote Sensing, Vol.2 No.3, September 12, 2013

    ABSTRACT: This Article is set to track and monitor changes through spatial dependence of remote sensing data and GIS analysis, the suggested working method in this research is by sub pixel classification techniques. Change detection is a central task for land cover monitoring by remote sensing. It uses multi temporal image data sets in order to detect land cover changes from spectral discrepancies [1] (Rafael, et al.). It discusses the study perception of the situation in the past as well as the current and finally the future status of changes that land uses in Eastern Qena meander specifically in places of estuary floods, and the most important estuary leading to Qena, and whether these changes in land are used in direction of the mouth of the stream or not, especially that when it happened before, it caused destruction of both activities, urban & agricultural land. It will rely on Landsat images in years of (1972-2012), conduct analysis, different classifications integration with geographic information systems (GIS), and field as well as samples for the accuracy assessment.