2. Univ Porto, Associate Lab, CIBIO Res Ctr Biodivers & Genet Resources, InBIO Res Network Biodivers & Evolutionary Biol, Campus Agr Vairao, P-4485601 Vairao, Portugal
3. Univ Lisbon, Inst Super Agron, Linking Landscape Environm Agr & Food, P-1349017 Lisbon, Portugal
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Abstract
Geographic Object-based Image Analysis (GEOBIA) is increasingly used to process high-spatial resolution imagery, with applications ranging from single species detection to habitat and land cover mapping. Image segmentation plays a key role in GEOBIA workflows, allowing to partition images into homogenous and mutually exclusive regions. Nonetheless, segmentation techniques require a robust parameterization to achieve the best results. Frequently, inappropriate parameterization leads to sub-optimal results and difficulties in comparing distinct methods.