Article
A procedure for semi-automatic segmentation in OBIA based on the maximization of a comparison index
Fecha
2014-06-30Registro en:
9783319091433
3029743
10.1007/978-3-319-09144-0_25
Autor
Auquilla Sangolqui, Andrés Vinicio
Vanegas Peralta, Pablo Fernando
Institución
Resumen
In an Object Based Image Analysis Classification (OBIA) process, the quality of the classification results are highly dependent on segmentation. However, a high number of the studies that make use of an OBIA process find the segmentation parameters by making use of trial-and-error methods. It is clear that a lack of a structured procedure to determine the segmentation parameters produces unquantified errors in the classification. This paper aims to quantify the effects of using a semi-automatic approach to determine optimal segmentation parameters. To this end, an OBIA process is performed to classify land cover types produced by both a manual and an automatic segmentation. Even though the classification using the manual segmentation outperforms the automatic segmentation, the difference is only 2%. Since the automatic segmentation is performed with optimal parameters, a procedure to accurately determine those parameters must be performed to minimize the error produced by a misjudgment in the segmentation step. © 2014 Springer International Publishing.