Year: 2019
Type: article
Abstract: The use of region based or object oriented techniques can enhance the accuracy of remote sensing based land coverclassifi cation. Due to the great amount of available segmenters and the need to select its parameters, a methodologyfor segmentation evaluation and comparison is of great relevance. The Weighted Index for Segmentation Evaluation(WISE) and some variations are analyzed in this work, by comparing them to other two indices from literature, foroptimal segmentation of synthetic images. The indices were also evaluated by the classifi cation results obtained with Neatest Neighbor classifi er. These indices were tested in three diff erent scenarios, that is, considering sets ofland cover classes with diff erent levels of separability. When compared to other indices, WISE and its variationsshowed good results for segmentation selection, while some of the operational and theoretical problems found inother indices were not observed.
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2339763443