Border feature detection and adaptation algorithm for consensual decision making

Kasapoglu, N.G.; Ersoy, Okan K.; Kent, Sedef

doi:10.1080/01431160802639798

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…An event-induced landslide could be absent from the preevent landslide inventory, or present in both inventories (the reactivated ones). Landslides found in both inventories were examined very carefully for changes in tone and enlargement of extent (Pan et al, 2004;Nichol and Wong, 2005;Espindola et al, 2006;Rau et al, 2007;Kasapoglu et al, 2009). The final GIS inventory included a detailed description of the size and the type of each landslide object.…”

Section: Event-based Landslide Inventorymentioning

confidence: 99%

Dynamic environment in the Ta-Chia River watershed after the 1999 Taiwan Chi-Chi earthquake

Shou

Fei

et al. 2011

Geomorphology

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Section: Event-based Landslide Inventorymentioning

confidence: 99%

Dynamic environment in the Ta-Chia River watershed after the 1999 Taiwan Chi-Chi earthquake

Shou

Fei

et al. 2011

Geomorphology

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“…Additionally, least square analysis or NNs can be employed to obtain confidence levels of decisions based on training accuracies [3].…”

Section: Decision Fusionmentioning

confidence: 99%

“…Based on specifications of feature groups, proper decision makers can be chosen for decision fusion [2]. Using consensual strategy with cross validation can improve the nonparametric classifiers' performance [3].…”

Section: Introductionmentioning

confidence: 99%

Fusion of optical and multifrequency polsar data for forest classification

Kasapoglu

Anfinsen

Eltoft

2012

2012 IEEE International Geoscience and Remote Sensing Symposium

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In this study a decision fusion strategy is proposed for a multisensor data fusion process using optical and polarimetric multifrequency synthetic aperture radar data for forest classification. Instead of utilizing one classifier for all available features, grouped features are classified by using individual classifiers. A qualified majority voting (QMV) consensual rule, derived from the confusion matrix is utilized in the subsequent fusion process to combine decisions. With this approach, more consistent results are obtained than using all features as a stacked vector and maximum likelihood classification (MLC).

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Spatial and temporal analysis of landslides in Central Taiwan after 1999 Chi-Chi earthquake

Shou

Hong

et al. 2011

Engineering Geology

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Border feature detection and adaptation algorithm for consensual decision making

Cited by 5 publications

References 16 publications

Dynamic environment in the Ta-Chia River watershed after the 1999 Taiwan Chi-Chi earthquake

Dynamic environment in the Ta-Chia River watershed after the 1999 Taiwan Chi-Chi earthquake

Fusion of optical and multifrequency polsar data for forest classification

Spatial and temporal analysis of landslides in Central Taiwan after 1999 Chi-Chi earthquake

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