Abstract
| Original language | English |
|---|---|
| Title of host publication | 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 4465-4468 |
| ISBN (Print) | 978-1-58537-193-8 |
| DOIs | |
| Publication status | Published - 2011 |
| MoE publication type | A4 Article in a conference publication |
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Automatic tree stem delineation supporting forest inventory. / Molinier, Matthieu; Andersson, Kaj; Häme, Tuomas.
2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011. IEEE Institute of Electrical and Electronic Engineers , 2011. p. 4465-4468.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Automatic tree stem delineation supporting forest inventory
AU - Molinier, Matthieu
AU - Andersson, Kaj
AU - Häme, Tuomas
N1 - CA2: TK802
PY - 2011
Y1 - 2011
N2 - The aim of this study was to develop an automatic procedure to detect tree stems in cell phone images. If the stems can be detected, the central projection geometry of the images makes it possible to apply the so called relascope principle to predict the basal area of stems per hectare. The basal area is closely correlated with tree biomass. Images were acquired in an area where detailed tree-wise information is available. The tree stem delineation methods were based on color and edge information to tackle the challenges of occlusions and varying illumination conditions. Geolocalised images can be used as in-situ reference data for remote sensing data analysis to provide wall-to-wall estimates. (10 refs.)
AB - The aim of this study was to develop an automatic procedure to detect tree stems in cell phone images. If the stems can be detected, the central projection geometry of the images makes it possible to apply the so called relascope principle to predict the basal area of stems per hectare. The basal area is closely correlated with tree biomass. Images were acquired in an area where detailed tree-wise information is available. The tree stem delineation methods were based on color and edge information to tackle the challenges of occlusions and varying illumination conditions. Geolocalised images can be used as in-situ reference data for remote sensing data analysis to provide wall-to-wall estimates. (10 refs.)
U2 - 10.1109/IGARSS.2011.6129458
DO - 10.1109/IGARSS.2011.6129458
M3 - Conference article in proceedings
SN - 978-1-58537-193-8
SP - 4465
EP - 4468
BT - 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
PB - IEEE Institute of Electrical and Electronic Engineers
ER -