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Abstract Details
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Activity Number:
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21
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Type:
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Topic Contributed
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Date/Time:
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Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #305810 |
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Title:
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Inference for Map Comparisons
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Author(s):
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Shu Wang*+
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Companies:
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University of Florida
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Address:
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MaCarty Hall, Gainesville, FL, 32611, United States
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Keywords:
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change detection ;
multitemporal images ;
spatial autocorrelation
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Abstract:
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In the past few years, the development of change detection techniques for analyzing the multitemporal images has become an active area of research. This interest stems from the wide range of applications in which change detection methods can be used, such as environmental monitoring, agricultural surveys, urban studies, forest monitoring, etc. Detection of change is often based on a threshold value that is used to distinguish between areas of change and areas of no change. This work explores the use of spatial analysis method for enhancing standard techniques of change-detection and offers a statistical framework for the selection of the threshold. The framework accounts for spatial autocorrelation and the multiple tests associated with testing the null hypothesis.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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