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Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping
Taylor & Francis Verlag | 2016| -
A multiple dataset approach for 30-m resolution land cover mapping: a case study of continental Africa
Taylor & Francis Verlag | 2018| -
Comparisons of three recent moderate resolution African land cover datasets: CGLS-LC100, ESA-S2-LC20, and FROM-GLC-Africa30
Taylor & Francis Verlag | 2019| -
A multiple dataset approach for 30-m resolution land cover mapping: a case study of continental Africa
British Library Online Contents | 2018| -
A multiple dataset approach for 30-m resolution land cover mapping: a case study of continental Africa
British Library Online Contents | 2018| -
Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping
British Library Online Contents | 2016| -
A multiple dataset approach for 30-m resolution land cover mapping: a case study of continental Africa
British Library Online Contents | 2018| -
A multiple dataset approach for 30-m resolution land cover mapping: a case study of continental Africa
British Library Online Contents | 2018| -
Comparisons of three recent moderate resolution African land cover datasets: CGLS-LC100, ESA-S2-LC20, and FROM-GLC-Africa30
British Library Online Contents | 2019| -
Circa 2014 African land-cover maps compatible with FROM-GLC and GLC2000 classification schemes based on multi-seasonal Landsat data
Taylor & Francis Verlag | 2016| -
Circa 2014 African land-cover maps compatible with FROM-GLC and GLC2000 classification schemes based on multi-seasonal Landsat data
British Library Online Contents | 2016| -
Exploring the temporal density of Landsat observations for cropland mapping: experiments from Egypt, Ethiopia, and South Africa
Taylor & Francis Verlag | 2018| -
Detailed dynamic land cover mapping of Chile: Accuracy improvement by integrating multi-temporal data
British Library Online Contents | 2016| -
Exploring the temporal density of Landsat observations for cropland mapping: experiments from Egypt, Ethiopia, and South Africa
British Library Online Contents | 2018| -
Detailed dynamic land cover mapping of Chile: Accuracy improvement by integrating multi-temporal data
British Library Online Contents | 2016| -
An all-season sample database for improving land-cover mapping of Africa with two classification schemes
Taylor & Francis Verlag | 2016| -
Bamboo mapping of Ethiopia, Kenya and Uganda for the year 2016 using multi-temporal Landsat imagery
British Library Online Contents | 2018| -
Bamboo mapping of Ethiopia, Kenya and Uganda for the year 2016 using multi-temporal Landsat imagery
British Library Online Contents | 2018|
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