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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publication2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings
Pages13-16
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Trento, Italy
Duration: 12 Jul 201114 Jul 2011

Publication series

Name2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings

Conference

Conference2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011
Country/TerritoryItaly
CityTrento
Period12/07/1114/07/11

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