Trees Detection from Aerial Images Using the YOLOv5 Family
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53082-1_25
Reference8 articles.
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3. Kamble, P., Ruikar, D.D., Houde, K.V., Hegadi, R.S.: Adaptive threshold-based database preparation method for handwritten image classification. In: Santosh, K., Hegadi, R., Pal, U. (eds.) Recent Trends in Image Processing and Pattern Recognition IRTIP2R 2021, Malta, Msida, pp. 280–288 (2021)
4. Li, W., Fu, H., Yu, L.: Deep convolutional neural network based large-scale oil palm tree detection for high-resolution remote sensing images. In: Proceedings of 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Texas, pp. 846–849 (2017)
5. Ruikar, D., Houde, K, Hegadi, R.: DNN-based knee OA severity prediction system: pathologically robust feature engineering approach. SN Comput. Sci. 4(58) (2023)
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