Deep Learning-Based Semantic Segmentation of Urban Areas Using Heterogeneous Unmanned Aerial Vehicle Datasets by Ahram Song

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Semantic Segmentation of Remote-Sensing Imagery Using Heterogeneous Big Data: International Society for Photogrammetry and Remote Sensing Potsdam and Cityscape Datasets by Ahram Song, Yongil Kim

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Hybrid approach using deep learning and graph comparison for building change detection by Seula Park, Ahram Song

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Transfer Change Rules from Recurrent Fully Convolutional Networks for Hyperspectral Unmanned Aerial Vehicle Images without Ground Truth Data by Ahram Song, Yongil Kim

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Uncertainty Analysis for Object-Based Change Detection in Very High-Resolution Satellite Images Using Deep Learning Network by Ahram Song, Yongil Kim, Youkyung Han

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Change Detection in Hyperspectral Images Using Recurrent 3D Fully Convolutional Networks by Ahram Song, Jaewan Choi, Youkyung Han, Yongil Kim

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Automatic Extraction of Optimal Endmembers from Airborne Hyperspectral Imagery Using Iterative Error Analysis (IEA) and Spectral Discrimination Measurements by Ahram Song, Anjin Chang, Jaewan Choi, Seokkeun Choi, Yongil Kim

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