Sliding Window-based Probabilistic Change Detection for Remote-sensed Images

A recent probabilistic change detection algorithm provides a way for assessing changes on remote-sensed images which is more robust to geometric and atmospheric errors than existing pixel-based methods. However, its grid (patch)-based change detection results in coarse-resolution change maps and oft...

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Published inProcedia computer science Vol. 80; pp. 2348 - 2352
Main Authors Hong, Seokyong, Vatsavai, Ranga R.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2016
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Abstract A recent probabilistic change detection algorithm provides a way for assessing changes on remote-sensed images which is more robust to geometric and atmospheric errors than existing pixel-based methods. However, its grid (patch)-based change detection results in coarse-resolution change maps and often discretizes continuous changes that occur across grid boundaries. In this study, we propose a sliding window-based extension of the probabilistic change detection approach to overcome such artificial limitations.
AbstractList A recent probabilistic change detection algorithm provides a way for assessing changes on remote-sensed images which is more robust to geometric and atmospheric errors than existing pixel-based methods. However, its grid (patch)-based change detection results in coarse-resolution change maps and often discretizes continuous changes that occur across grid boundaries. In this study, we propose a sliding window-based extension of the probabilistic change detection approach to overcome such artificial limitations.
Author Vatsavai, Ranga R.
Hong, Seokyong
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10.1080/01431168108948362
10.3390/s8031613
10.1016/j.isprsjprs.2013.03.006
10.3390/rs3112473
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Keywords Probabilistic Change Detection
Sliding Window
Spatial Data Mining
Satellite Image Processing
GMM
Language English
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Snippet A recent probabilistic change detection algorithm provides a way for assessing changes on remote-sensed images which is more robust to geometric and...
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StartPage 2348
SubjectTerms GMM
Probabilistic Change Detection
Satellite Image Processing
Sliding Window
Spatial Data Mining
Title Sliding Window-based Probabilistic Change Detection for Remote-sensed Images
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