Source: Proceedings. Conference titles: International Workshop on the Analysis of Multi-temporal Remote Sensing Images - Multi-Temp. Unidade: ICMC
Subjects: BANCO DE DADOS, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
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ROMANI, L. A. S et al. Clustering analysis applied to NDVI/NOAA multitemporal images to improve the monitoring process of sugarcane crops. 2011, Anais.. Piscataway: IEEE, 2011. Disponível em: https://doi.org/10.1109/Multi-Temp.2011.6005040. Acesso em: 18 nov. 2024.APA
Romani, L. A. S., Gonçalves, R. R. V., Amaral, B. F., Chino, D. Y. T., Zullo Junior, J., Traina Junior, C., et al. (2011). Clustering analysis applied to NDVI/NOAA multitemporal images to improve the monitoring process of sugarcane crops. In Proceedings. Piscataway: IEEE. doi:10.1109/Multi-Temp.2011.6005040NLM
Romani LAS, Gonçalves RRV, Amaral BF, Chino DYT, Zullo Junior J, Traina Junior C, Sousa EPM de, Traina AJM. Clustering analysis applied to NDVI/NOAA multitemporal images to improve the monitoring process of sugarcane crops [Internet]. Proceedings. 2011 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1109/Multi-Temp.2011.6005040Vancouver
Romani LAS, Gonçalves RRV, Amaral BF, Chino DYT, Zullo Junior J, Traina Junior C, Sousa EPM de, Traina AJM. Clustering analysis applied to NDVI/NOAA multitemporal images to improve the monitoring process of sugarcane crops [Internet]. Proceedings. 2011 ;[citado 2024 nov. 18 ] Available from: https://doi.org/10.1109/Multi-Temp.2011.6005040