Publisher
Springer Nature Singapore
Reference13 articles.
1. Santoso, H., Tani, H., Wang, X.: A simple method for detection and counting of oil palm trees using high-resolution multispectral satellite imagery. Int. J. Remote Sens. 37(21), 5122–5134 (2016)
2. Pouliot, D., King, D., Bell, F., Pitt, D.: Automated tree crown detection and delineation in high-resolution digital camera imagery of coniferous forest regeneration. Remote Sens. Environ. 82(2–3), 322–334 (2002)
3. Shafri, H., Hamdan, N., Saripan, M.: Semi-automatic detection and counting of oil palm trees from high spatial resolution airborne imagery. Int. J. Remote Sens. 32(8), 2095–2115 (2011)
4. Zakharova, M.: Automated coconut tree detection in aerial imagery using deep learning (2019). https://iiw.kuleuven.be/onderzoek/eavise/mastertheses/mariia-zakharova.pdf. Convolutional Neural Network, Mathworks.com, 2019
5. Dormer, J., Halicek, M., Ma, L., Reilly, C., Fei, B., Schreibmann, E.: Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches, Medical Imaging 2018: Computer-Aided Diagnosis (2018)
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