Optimizing panchromatic image change detection based on change index multiband image analysis
| Autor: | Inigo Molina Sanchez, Estibaliz Martinez Izquierdo, Agueda Arquero Hidalgo |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Informática
Kullback–Leibler divergence General Computer Science business.industry Robótica e Informática Industrial 0211 other engineering and technologies Pattern recognition 02 engineering and technology Panchromatic film Support vector machine Discriminant 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Electrical and Electronic Engineering business Image resolution Classifier (UML) Change detection 021101 geological & geomatics engineering Mathematics |
| Zdroj: | IEEE Latin America Transactions, ISSN 1548-0992, 2015-03, Vol. 13, No. 3 Archivo Digital UPM instname |
| Popis: | This work proposes an optimization of a semi-supervised Change Detection methodology based on a combination of Change Indices (CI) derived from an image multitemporal data set. For this purpose, SPOT 5 Panchromatic images with 2.5 m spatial resolution have been used, from which three Change Indices have been calculated. Two of them are usually known indices; however the third one has been derived considering the Kullbak-Leibler divergence. Then, these three indices have been combined forming a multiband image that has been used in as input for a Support Vector Machine (SVM) classifier where four different discriminant functions have been tested in order to differentiate between change and no_change categories. The performance of the suggested procedure has been assessed applying different quality measures, reaching in each case highly satisfactory values. These results have demonstrated that the simultaneous combination of basic change indices with others more sophisticated like the Kullback-Leibler distance, and the application of non-parametric discriminant functions like those employees in the SVM method, allows solving efficiently a change detection problem. |
| Databáze: | OpenAIRE |
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