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Wetland Classification with Deep ResU-Net CNN and Multitemp..:
Alex Onojeghuo (13806388)
;
Ajoke Ruth Onojeghuo (11205280)
https://figshare.com/articles/dataset/Wetland_Classification_with_Deep_ResU-Net_Convolutional_Neural_Network_and_Multitemporal_Sentinel-1_2_Imagery_and_ALOS_Elevation_Data_A_Case_Study_in_Alberta_Parkland_Grassland_Natural_Region_Canada/21127528. , 2022
Link:
https://doi.org/10.4121/21127528.v3
RT Journal T1 <Title>Wetland Classification with Deep ResU-Net CNN and Multitemporal Sentinel 1 & 2 Imagery and ALOS Elevation Data</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivfreestate:oai:figshare.com:article_21127528&Exemplar=1&LAN=DE A1 Alex Onojeghuo (13806388) A1 Ajoke Ruth Onojeghuo (11205280) YR 2022 K1 Other Earth Sciences K1 Wetlands K1 Parkland & Grassland Natural Region K1 Alberta K1 deep learning K1 machine learning K1 ResNet34 K1 CNN K1 Random Forest K1 Support Vector Machine K1 Remote Sensing K1 ALOS K1 Sentinel-1 K1 Sentinel-2 K1 Google Earth Engine JF https://figshare.com/articles/dataset/Wetland_Classification_with_Deep_ResU-Net_Convolutional_Neural_Network_and_Multitemporal_Sentinel-1_2_Imagery_and_ALOS_Elevation_Data_A_Case_Study_in_Alberta_Parkland_Grassland_Natural_Region_Canada/21127528 LK http://dx.doi.org/https://doi.org/10.4121/21127528.v3 DO https://doi.org/10.4121/21127528.v3 SF ELIB - SuUB Bremen
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