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Иш: Improved Agricultural Field Segmentation in Satellite Imagery Using TL-ResUNet Architecture
Perspectives of deep learning based satellite imagery analysis and efficient training of the U-Net architecture for land-use classification
Temurbek Kuchkorov, Sh. N. Urmanov, Khabibullo Nosirov +1
МақолаRemote Sensing and Land UseDevelopments of Artificial Intelligence Technologies in Computation and Robotics20205 иқтибосABIDeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
İlke Demir, Krzysztof Koperski, David Lindenbaum +6
Мақола20183 иқтибосABIDense Fusion Classmate Network for Land Cover Classification
Chao Tian, Cong Li, Jianping Shi
Мақола20182 иқтибосABIDeep Aggregation Net for Land Cover Classification
Tzu-Sheng Kuo, Keng-Sen Tseng, Jiawei Yan +2
Мақола20182 иқтибосABI