An area based technique for image-to-image registration of multi-modal remote sensing data

Peter John Bunting; Frédéric Labrosse; Richard Maxwell Lucas

doi:10.1109/IGARSS.2008.4780065

An area based technique for image-to-image registration of multi-modal remote sensing data

Peter John Bunting, Frédéric Labrosse, Richard Maxwell Lucas

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

14 Citations (Scopus)

Abstract

This paper outlines further tests of the automatic image-to-image registration technique of Bunting et al with the inclusion of joint histogram image similarity metrics. These metrics were expected to increase the accuracy of the algorithms results given that previous literature has highlighted these metrics as optimal for multi-modal registration. But, this study has demonstrated the opposite with the correlation coefficient producing better matching results than the mutual information, kolmogorov distance and distance to independence metrics.

Original language	English
Title of host publication	IEEE International Geoscience & Remote Sensing Symposium, Boston, Massachusetts
ISBN (Electronic)	978-1-4244-2808-3
DOIs	https://doi.org/10.1109/IGARSS.2008.4780065
Publication status	Published - 01 Jul 2008
Event	IEEE International Geoscience and Remote Sensing Symposium - Boston, United States of America Duration: 07 Jul 2008 → 11 Jul 2008

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium
Country/Territory	United States of America
City	Boston
Period	07 Jul 2008 → 11 Jul 2008

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10.1109/IGARSS.2008.4780065

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title = "An area based technique for image-to-image registration of multi-modal remote sensing data",

abstract = "This paper outlines further tests of the automatic image-to-image registration technique of Bunting et al with the inclusion of joint histogram image similarity metrics. These metrics were expected to increase the accuracy of the algorithms results given that previous literature has highlighted these metrics as optimal for multi-modal registration. But, this study has demonstrated the opposite with the correlation coefficient producing better matching results than the mutual information, kolmogorov distance and distance to independence metrics.",

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AU - Lucas, Richard Maxwell

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N2 - This paper outlines further tests of the automatic image-to-image registration technique of Bunting et al with the inclusion of joint histogram image similarity metrics. These metrics were expected to increase the accuracy of the algorithms results given that previous literature has highlighted these metrics as optimal for multi-modal registration. But, this study has demonstrated the opposite with the correlation coefficient producing better matching results than the mutual information, kolmogorov distance and distance to independence metrics.

AB - This paper outlines further tests of the automatic image-to-image registration technique of Bunting et al with the inclusion of joint histogram image similarity metrics. These metrics were expected to increase the accuracy of the algorithms results given that previous literature has highlighted these metrics as optimal for multi-modal registration. But, this study has demonstrated the opposite with the correlation coefficient producing better matching results than the mutual information, kolmogorov distance and distance to independence metrics.

UR - http://hdl.handle.net/2160/9632

U2 - 10.1109/IGARSS.2008.4780065

DO - 10.1109/IGARSS.2008.4780065

M3 - Conference Proceeding (Non-Journal item)

SN - 978-1-4244-2807-6

BT - IEEE International Geoscience & Remote Sensing Symposium, Boston, Massachusetts

T2 - IEEE International Geoscience and Remote Sensing Symposium

Y2 - 7 July 2008 through 11 July 2008

ER -

An area based technique for image-to-image registration of multi-modal remote sensing data

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