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Semantic Labeling, Convolutional Neural Networks, Context,
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Feature extraction, Remote sensing, Object detection,
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WACV19(648-656)
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1904
image segmentation, learning (artificial intelligence),
neural nets, object detection, semantic networks,
Training data
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Object Classification of Remote Sensing Images Based on Partial
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ICPR18(1935-1940)
IEEE DOI
1812
Remote sensing, Binary codes, Linear programming, Training data,
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Li, C.,
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Dense Fusion Classmate Network for Land Cover Classification,
DeepGlobe18(262-2624)
IEEE DOI
1812
Roads, Image segmentation, Semantics, Task analysis, Training,
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NU-Net: Deep Residual Wide Field of View Convolutional Neural Network
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DeepGlobe18(267-2674)
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1812
Image segmentation, Semantics, Roads, Computer architecture,
Convolution, Computer vision, Pattern recognition
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Buslaev, A.,
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Feature Pyramid Network for Multi-class Land Segmentation,
DeepGlobe18(272-2723)
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1812
Image segmentation, Satellites, Training, Feature extraction,
Convolution, Semantics, Computer vision
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Pascual, G.,
Segui, S.,
Vitria, J.,
Uncertainty Gated Network for Land Cover Segmentation,
DeepGlobe18(276-2763)
IEEE DOI
1812
Uncertainty, Image segmentation, Logic gates, Semantics,
Computer vision, Measurement uncertainty, Image resolution
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Tseng, K.,
Yan, J.,
Liu, Y.,
Wang, Y.F.,
Deep Aggregation Net for Land Cover Classification,
DeepGlobe18(247-2474)
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1812
Semantics, Image segmentation, Feature extraction, Tuning,
Satellites, Decoding, Convolution
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And: A2, A1, Only:
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Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Irrigation Monitoring, Irrigated Field Detection, Land Use Analysis .