PVANET-HOUGH: DETECTION AND LOCATION OF CENTER PIVOT IRRIGATION SYSTEMS FROM SENTINEL-2 IMAGES

6 citations as recorded by crossref.

1. Center Pivot Irrigation Systems and Where to Find Them: A Deep Learning Approach to Provide Inputs to Hydrologic and Economic Models D. Cooley et al. 10.3389/frwa.2021.786016
2. A deep learning image segmentation model for agricultural irrigation system classification E. Raei et al. 10.1016/j.compag.2022.106977
3. Dealing With Clouds and Seasonal Changes for Center Pivot Irrigation Systems Detection Using Instance Segmentation in Sentinel-2 Time Series A. de Albuquerque et al. 10.1109/JSTARS.2021.3104726
4. Deep learning for proximal soil sensor development towards smart irrigation E. Kurtulmuş et al. 10.1016/j.eswa.2022.116812
5. Increasing Shape Bias to Improve the Precision of Center Pivot Irrigation System Detection J. Tang et al. 10.3390/rs13040612
6. Mapping Center Pivot Irrigation Systems in the Southern Amazon from Sentinel-2 Images J. Tang et al. 10.3390/w13030298