Akar, A. 2022. Improving the accuracy of random forest-based land-use classification using fused images and digital surface models produced via different interpolation methods. Concurrency and Computation: Practice and Experience , vol.34, no.6 .

Akar, A., (2022). Improving the accuracy of random forest-based land-use classification using fused images and digital surface models produced via different interpolation methods. Concurrency and Computation: Practice and Experience , vol.34, no.6.

Akar, ALPER. "Improving the accuracy of random forest-based land-use classification using fused images and digital surface models produced via different interpolation methods," Concurrency and Computation: Practice and Experience , vol.34, no.6, 2022

Akar, ALPER. "Improving the accuracy of random forest-based land-use classification using fused images and digital surface models produced via different interpolation methods." Concurrency and Computation: Practice and Experience , vol.34, no.6, 2022

Akar, A. (2022) . "Improving the accuracy of random forest-based land-use classification using fused images and digital surface models produced via different interpolation methods." Concurrency and Computation: Practice and Experience , vol.34, no.6.

@article{article, author={ALPER AKAR}, title={Improving the accuracy of random forest-based land-use classification using fused images and digital surface models produced via different interpolation methods}, journal={Concurrency and Computation: Practice and Experience}, year=2022}