Individual Olive Tree Detection in RGB Images (CROSBI ID 725783)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Marin, Ivana ; Gotovac, Sven ; Papić, Vladan
engleski
Individual Olive Tree Detection in RGB Images
In this paper, an automatic method for detecting and counting olive trees in RGB images acquired by an unmanned aerial vehicle (UAV) is developed. Our approach is based on implementation of RetinaNet model and DeepForest Phyton package. For improvement of pretrained model via transfer learning, five olive groves were mapped using UAV, trees were manually labeled, and new image dataset was created. Several models were built, each being trained and evaluated on different set of images from selected olive groves. Experimental results obtained on a UAV image acquired over test olive groves are reported and discussed. Detection results showed high reliability of proposed approach and great improvement in performance compared to pretrained model.
Tree crowns ; Tree detection ; Remote sensing ; Deep learning
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Podaci o prilogu
1-6.
2022.
objavljeno
10.23919/SoftCOM55329.2022.9911397
Podaci o matičnoj publikaciji
Begušić, Dinko ; Rožić, Nikola ; Radić, Joško ; Šarić, Matko
Split: Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu
978-953-290-117-7
1847-358X
Podaci o skupu
30th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2022
predavanje
22.09.2022-24.09.2022
Split, Hrvatska