Grid pattern based residential area detection from hyperion data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Satellite hyperspectral imagery has been widely used in geological and agricultural studies. However, its use for an urban environment is limited due to low spatial resolution. Few methods in the literature attempt to use both spectral and spatial information in hyperspectral imagery. In this paper, a new method of performing spectral correlation and detecting urban signatures by analyzing discrete Fourier components of a correlation image is presented. The results from the recognition of residential building areas are demonstrated.

Original languageEnglish
Title of host publication2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings
Pages105-108
Number of pages4
DOIs
StatePublished - Jul 26 2010
Event2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Austin, TX, United States
Duration: May 23 2010May 25 2010

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Conference

Conference2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010
CountryUnited States
CityAustin, TX
Period05/23/1005/25/10

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Cong, L., Nutter, B., & Liang, D. (2010). Grid pattern based residential area detection from hyperion data. In 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings (pp. 105-108). [5483906] (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation). https://doi.org/10.1109/SSIAI.2010.5483906