Vitenskapelig Kapittel/Artikkel/Konferanseartikkel   2014

Ferreira, Matheus; Zanotta, Daniel; Zortea, Maciel; Körting, Thales; Foncesa, Leila; Shimabukuro, Yosio; Carlos, Souza Filho

Publikasjonsdetaljer

Sider:

784–787

År:

2014

Lenker:

DOI: doi.org/10.1109/IGARSS.2014.6946541

Del av: Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International (IEEE Press, 2014)

This paper aims to use unique features of hyperspectral data on an automatic process for outlining individual tree crowns (ITCs) in a tropical forest area, with special focus on semi-deciduous species. In order to enhance biophysical and biochemical properties of canopy species, a set of vegetation indices were computed. These indices served as input for a region growing segmentation algorithm that takes into account mutual similarity of pixels and spectral separability between neighbor segments. Segmentation output was evaluated on the basis of a score computed with the proportion of the area of the segments located within manually delineated ITCs. Results show that the segmentation approach is able to automatically delineate up to 70% of the control ITCs.