Change detection in very high resolution imagery based on dynamic time warping: An implementation for Haiti earthquake damage assessment

Gülşen Taşkin Kaya; Hüseyin Kaya; Okan K. Ersoy

doi:10.1109/Multi-Temp.2011.6005035

Change detection in very high resolution imagery based on dynamic time warping: An implementation for Haiti earthquake damage assessment

Gülşen Taşkin Kaya^*
, Hüseyin Kaya
, Okan K. Ersoy

^*Corresponding author for this work

Disaster Management Institute

Istanbul Technical University
Purdue University

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

1 Citation (Scopus)

Abstract

Very high resolution (VHR) imagery exhibits high level of detailed information, but this may lead to the complicated urban structures in the spectral domain. In the context of change detection implementation, there are some issues when dealing with multitemporal change detection analysis in VHR imagery. One of the most important issues is to make a very accurate registration of two images taken at two different times. Due to some problems caused by scaling, shifting and rotation of the images, it is mostly impossible to register two images pixel-to-pixel exactly. Noise reduction, radiometric and geometric corrections are also the other factors affecting the quality of change detection analysis. All these issues may cause a great number of false alarms in addition to artifacts in change detection analysis with VHR images.

Original language	English
Title of host publication	2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings
Pages	13-16
Number of pages	4
DOIs	https://doi.org/10.1109/Multi-Temp.2011.6005035
Publication status	Published - 2011
Event	2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Trento, Italy Duration: 12 Jul 2011 → 14 Jul 2011

Publication series

Name	2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings

Conference

Conference	2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011
Country/Territory	Italy
City	Trento
Period	12/07/11 → 14/07/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

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10.1109/Multi-Temp.2011.6005035

Cite this

Kaya, G. T., Kaya, H., & Ersoy, O. K. (2011). Change detection in very high resolution imagery based on dynamic time warping: An implementation for Haiti earthquake damage assessment. In 2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings (pp. 13-16). Article 6005035 (2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings). https://doi.org/10.1109/Multi-Temp.2011.6005035

Kaya, Gülşen Taşkin ; Kaya, Hüseyin ; Ersoy, Okan K. / Change detection in very high resolution imagery based on dynamic time warping : An implementation for Haiti earthquake damage assessment. 2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings. 2011. pp. 13-16 (2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings).

@inproceedings{860d7c6fadcc43e29b144d648b5f7c27,

title = "Change detection in very high resolution imagery based on dynamic time warping: An implementation for Haiti earthquake damage assessment",

abstract = "Very high resolution (VHR) imagery exhibits high level of detailed information, but this may lead to the complicated urban structures in the spectral domain. In the context of change detection implementation, there are some issues when dealing with multitemporal change detection analysis in VHR imagery. One of the most important issues is to make a very accurate registration of two images taken at two different times. Due to some problems caused by scaling, shifting and rotation of the images, it is mostly impossible to register two images pixel-to-pixel exactly. Noise reduction, radiometric and geometric corrections are also the other factors affecting the quality of change detection analysis. All these issues may cause a great number of false alarms in addition to artifacts in change detection analysis with VHR images.",

author = "Kaya, \{G{\"u}l{\c s}en Ta{\c s}kin\} and H{\"u}seyin Kaya and Ersoy, \{Okan K.\}",

year = "2011",

doi = "10.1109/Multi-Temp.2011.6005035",

language = "English",

isbn = "9781457712036",

series = "2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings",

pages = "13--16",

booktitle = "2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings",

note = "2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 ; Conference date: 12-07-2011 Through 14-07-2011",

}

Kaya, GT, Kaya, H & Ersoy, OK 2011, Change detection in very high resolution imagery based on dynamic time warping: An implementation for Haiti earthquake damage assessment. in 2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings., 6005035, 2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings, pp. 13-16, 2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011, Trento, Italy, 12/07/11. https://doi.org/10.1109/Multi-Temp.2011.6005035

Change detection in very high resolution imagery based on dynamic time warping: An implementation for Haiti earthquake damage assessment. / Kaya, Gülşen Taşkin; Kaya, Hüseyin; Ersoy, Okan K.
2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings. 2011. p. 13-16 6005035 (2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings).

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

TY - GEN

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AB - Very high resolution (VHR) imagery exhibits high level of detailed information, but this may lead to the complicated urban structures in the spectral domain. In the context of change detection implementation, there are some issues when dealing with multitemporal change detection analysis in VHR imagery. One of the most important issues is to make a very accurate registration of two images taken at two different times. Due to some problems caused by scaling, shifting and rotation of the images, it is mostly impossible to register two images pixel-to-pixel exactly. Noise reduction, radiometric and geometric corrections are also the other factors affecting the quality of change detection analysis. All these issues may cause a great number of false alarms in addition to artifacts in change detection analysis with VHR images.

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Kaya GT, Kaya H, Ersoy OK. Change detection in very high resolution imagery based on dynamic time warping: An implementation for Haiti earthquake damage assessment. In 2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings. 2011. p. 13-16. 6005035. (2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings). doi: 10.1109/Multi-Temp.2011.6005035

Change detection in very high resolution imagery based on dynamic time warping: An implementation for Haiti earthquake damage assessment

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