JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 21
Type: Topic Contributed
Date/Time: Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #305810
Title: Inference for Map Comparisons
Author(s): Shu Wang*+
Companies: University of Florida
Address: MaCarty Hall, Gainesville, FL, 32611, United States
Keywords: change detection ; multitemporal images ; spatial autocorrelation

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.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2012 program

2012 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.