Akar, Ö. Et Al. 2024. Semantic segmentation of very-high spatial resolution satellite images: A comparative analysis of 3D-CNN and traditional machine learning algorithms for automatic vineyard detection . INTERNATIONAL JOURNAL OF ENGINEERING AND GEOSCIENCES , vol.9, no.1 , 12-24.

Akar, Ö., Saralioğlu, E., Güngör, O., & Bayata, H. F., (2024). Semantic segmentation of very-high spatial resolution satellite images: A comparative analysis of 3D-CNN and traditional machine learning algorithms for automatic vineyard detection . INTERNATIONAL JOURNAL OF ENGINEERING AND GEOSCIENCES , vol.9, no.1, 12-24.

Akar, ÖZLEM Et Al. "Semantic segmentation of very-high spatial resolution satellite images: A comparative analysis of 3D-CNN and traditional machine learning algorithms for automatic vineyard detection ," INTERNATIONAL JOURNAL OF ENGINEERING AND GEOSCIENCES , vol.9, no.1, 12-24, 2024

Akar, ÖZLEM Et Al. "Semantic segmentation of very-high spatial resolution satellite images: A comparative analysis of 3D-CNN and traditional machine learning algorithms for automatic vineyard detection ." INTERNATIONAL JOURNAL OF ENGINEERING AND GEOSCIENCES , vol.9, no.1, pp.12-24, 2024

Akar, Ö. Et Al. (2024) . "Semantic segmentation of very-high spatial resolution satellite images: A comparative analysis of 3D-CNN and traditional machine learning algorithms for automatic vineyard detection ." INTERNATIONAL JOURNAL OF ENGINEERING AND GEOSCIENCES , vol.9, no.1, pp.12-24.

@article{article, author={ÖZLEM AKAR Et Al. }, title={Semantic segmentation of very-high spatial resolution satellite images: A comparative analysis of 3D-CNN and traditional machine learning algorithms for automatic vineyard detection }, journal={INTERNATIONAL JOURNAL OF ENGINEERING AND GEOSCIENCES}, year=2024, pages={12-24} }