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Object detection, Feature extraction, Proposals, Convolution,
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How to add global info. CNN for pixel, Attention Network for patches.
Deep learning, Representation learning, Measurement,
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Object Based Remote Sensing Using Sentinel Data,
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Earth, Image analysis, Satellites, Digital images,
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AgriVision21(2954-2962)
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2109
Deep learning, Training, Image segmentation,
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An Island Remote Sensing Image Segmentation Algorithm Based on
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convolutional neural nets, geophysical image processing,
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ICIVC20(34-43)
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2009
Object detection, Remote sensing, Machine learning,
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Agriculture, Object detection, Detectors,
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Vegetation mapping, Indexes, Remote sensing, Data integration,
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Farm Parcel Delineation Using Spatio-temporal Convolutional Networks,
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Satellites, Task analysis, Image segmentation, Meteorology,
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Design of Orientation Assessment Functions for Gestalt-grouping
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WACV19(648-656)
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image segmentation, learning (artificial intelligence),
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Object Classification of Remote Sensing Images Based on Optimized
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ICPR21(9507-9513)
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2105
Learning systems, Hash functions, Image processing,
Memory management, Pattern recognition,
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Object Classification of Remote Sensing Images Based on Partial
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ICPR18(1935-1940)
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1812
Remote sensing, Binary codes, Linear programming, Training data,
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Tian, C.,
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Dense Fusion Classmate Network for Land Cover Classification,
DeepGlobe18(262-2624)
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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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Image segmentation, Semantics, Roads,
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Feature Pyramid Network for Multi-class Land Segmentation,
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1812
Image segmentation, Satellites, Training, Feature extraction,
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Uncertainty Gated Network for Land Cover Segmentation,
DeepGlobe18(276-2763)
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Uncertainty, Image segmentation, Logic gates, Semantics,
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Multiscale representation of brownfield sites with IKONOS imagery,
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Luscier, J.D.,
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Agricultural Field Extraction .