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Object detection, Feature extraction, Remote sensing,
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Object-based image analysis, Curve matching, His-Cov,
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Xu, N.[Nan],
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Object detection, Feature extraction, Proposals, Convolution,
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Hierarchical consistent land use classification, CNN,
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convolutional neural nets, geophysical image processing,
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2009
Object detection, Remote sensing, Machine learning,
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EarthVision20(737-746)
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2008
Agriculture, Object detection, Detectors,
Proposals, Task analysis, Image resolution
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Sheng, H.,
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Effective Data Fusion with Generalized Vegetation Index:
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AgriVision20(267-276)
IEEE DOI
2008
Vegetation mapping, Indexes, Remote sensing, Data integration,
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Aung, H.L.,
Uzkent, B.,
Burke, M.,
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Farm Parcel Delineation Using Spatio-temporal Convolutional Networks,
AgriVision20(340-349)
IEEE DOI
2008
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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1904
image segmentation, learning (artificial intelligence),
neural nets, object detection, semantic networks,
Training data
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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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Kang, T.,
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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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Dense Fusion Classmate Network for Land Cover Classification,
DeepGlobe18(262-2624)
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1812
Roads, Image segmentation, Semantics, Task analysis, Training,
Convolution, Satellites
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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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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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Uncertainty Gated Network for Land Cover Segmentation,
DeepGlobe18(276-2763)
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1812
Uncertainty, Image segmentation, Logic gates, Semantics,
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1812
Semantics, Image segmentation, Feature extraction, Tuning,
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Stacked U-Nets for Ground Material Segmentation in Remote Sensing
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Semantics, Image segmentation, Remote sensing, Convolution, Training,
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Subpixel Target, Subpixel Land Use, Tiny Objects .