doctoral thesis
The impact of convolution degree on the results of convolutional neural networks in remote sensing problems

University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Ivanda, A. (2025). The impact of convolution degree on the results of convolutional neural networks in remote sensing problems (Doctoral thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:742605

Ivanda, Antonia. "The impact of convolution degree on the results of convolutional neural networks in remote sensing problems." Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2025. https://urn.nsk.hr/urn:nbn:hr:179:742605

Ivanda, Antonia. "The impact of convolution degree on the results of convolutional neural networks in remote sensing problems." Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2025. https://urn.nsk.hr/urn:nbn:hr:179:742605

Ivanda, A. (2025). 'The impact of convolution degree on the results of convolutional neural networks in remote sensing problems', Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 03 April 2025, https://urn.nsk.hr/urn:nbn:hr:179:742605

Ivanda A. The impact of convolution degree on the results of convolutional neural networks in remote sensing problems [Doctoral thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2025 [cited 2025 April 03] Available at: https://urn.nsk.hr/urn:nbn:hr:179:742605

A. Ivanda, "The impact of convolution degree on the results of convolutional neural networks in remote sensing problems", Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2025. Available at: https://urn.nsk.hr/urn:nbn:hr:179:742605

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