Grid pattern based residential area detection from hyperion data

Lin Cong; Brian Nutter; Daan Liang

doi:10.1109/SSIAI.2010.5483906

Grid pattern based residential area detection from hyperion data

Lin Cong, Brian Nutter, Daan Liang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings
Pages	105-108
Number of pages	4
DOIs	https://doi.org/10.1109/SSIAI.2010.5483906
State	Published - 2010
Event	2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Austin, TX, United States Duration: May 23 2010 → May 25 2010

Publication series

Name	Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Conference

Conference	2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010
Country	United States
City	Austin, TX
Period	05/23/10 → 05/25/10

Access to Document

10.1109/SSIAI.2010.5483906

Link to publication in Scopus

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title = "Grid pattern based residential area detection from hyperion data",

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.",

author = "Lin Cong and Brian Nutter and Daan Liang",

year = "2010",

doi = "10.1109/SSIAI.2010.5483906",

language = "English",

isbn = "9781424478026",

series = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation",

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booktitle = "2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings",

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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., 5483906, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, pp. 105-108, 2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010, Austin, TX, United States, 05/23/10. https://doi.org/10.1109/SSIAI.2010.5483906

Grid pattern based residential area detection from hyperion data. / Cong, Lin; Nutter, Brian ; Liang, Daan.

2010 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010 - Proceedings. 2010. p. 105-108 5483906 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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