Evaluation of spectral similarity indices in unsupervised change detection approaches
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional de Colombia
2018
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| _version_ | 1876465077841821696 |
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| author | Jeisson Fabián Ramos |
| author_facet | Jeisson Fabián Ramos |
| contents | Evaluation of spectral similarity indices in unsupervised change detection approaches Jeisson Fabián Ramos Diego Renza Dora M. Ballesteros L. Ingeniería remote sensing change detection spectral indices accuracy assessment Unsupervised change detection (UCD) is a subject of Remote Sensing whose objective is to detect the differences between two multi-temporal images. In some cases, spectral similarity indices have been used as the comparison block in algorithms of UCD. The aim of this paper is to show in a quantitative way the performance of four spectral similarity indices in the correct identification of changes. Comparison is performed in terms of precision (overall accuracy and kappa index) over medium and high-resolution images (SPOT-5: Satellite Pour l'Observation de la Terre and Quickbird), with a reference obtained through a post-classification method (based on Support Vector Machines, SVM). The results show dependence on the automatic thresholding technique, as well as on the classes associated with the change. 2018 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49655628014 https://www.redalyc.org/journal/496/49655628014/ https://www.redalyc.org/journal/496/49655628014/html/ https://www.redalyc.org/journal/496/49655628014/49655628014.epub https://www.redalyc.org/journal/496/49655628014/movil 10.15446/dyna.v85n204.68355 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.204 Vol.85 |
| format | Artículo científico |
| id | redalyc_49655628014 |
| institution | Redalyc |
| language | en |
| publishDate | 2018 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Evaluation of spectral similarity indices in unsupervised change detection approaches Jeisson Fabián Ramos Ingeniería remote sensing change detection spectral indices accuracy assessment Evaluation of spectral similarity indices in unsupervised change detection approaches Jeisson Fabián Ramos Diego Renza Dora M. Ballesteros L. Ingeniería remote sensing change detection spectral indices accuracy assessment Unsupervised change detection (UCD) is a subject of Remote Sensing whose objective is to detect the differences between two multi-temporal images. In some cases, spectral similarity indices have been used as the comparison block in algorithms of UCD. The aim of this paper is to show in a quantitative way the performance of four spectral similarity indices in the correct identification of changes. Comparison is performed in terms of precision (overall accuracy and kappa index) over medium and high-resolution images (SPOT-5: Satellite Pour l'Observation de la Terre and Quickbird), with a reference obtained through a post-classification method (based on Support Vector Machines, SVM). The results show dependence on the automatic thresholding technique, as well as on the classes associated with the change. 2018 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49655628014 https://www.redalyc.org/journal/496/49655628014/ https://www.redalyc.org/journal/496/49655628014/html/ https://www.redalyc.org/journal/496/49655628014/49655628014.epub https://www.redalyc.org/journal/496/49655628014/movil 10.15446/dyna.v85n204.68355 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.204 Vol.85 |
| title | Evaluation of spectral similarity indices in unsupervised change detection approaches |
| topic | Ingeniería remote sensing change detection spectral indices accuracy assessment |
| url | https://www.redalyc.org/articulo.oa?id=49655628014 https://www.redalyc.org/journal/496/49655628014/ https://www.redalyc.org/journal/496/49655628014/html/ https://www.redalyc.org/journal/496/49655628014/49655628014.epub https://www.redalyc.org/journal/496/49655628014/movil |