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Yu, Y.T.[Yong-Tao],
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Elsevier DOI
2001
Object detection, Orientation guided anchoring,
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Geometry Aware Evaluation of Handcrafted Superpixel-Based Features
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2002
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Multi-Spectral Image Classification Based on an Object-Based Active
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2002
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Lv, Y.H.[Ya-Hui],
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Wang, H.[Huan],
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Zhu, D.[Dehai],
The Delineation and Grading of Actual Crop Production Units in Modern
Smallholder Areas Using RS Data and Mask R-CNN,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link
2004
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Wang, H.[Hua],
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A Multi-Objective Permanent Basic Farmland Delineation Model Based on
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IJGI(9), No. 4, 2020, pp. xx-yy.
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2005
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Hoeser, T.[Thorsten],
Kuenzer, C.[Claudia],
Object Detection and Image Segmentation with Deep Learning on Earth
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2006
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Wagner, M.P.[Matthias P.],
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Deep Learning and Adaptive Graph-Based Growing Contours for
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RS(12), No. 12, 2020, pp. xx-yy.
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2006
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Vlachopoulos, O.[Odysseas],
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Delineation of Crop Field Areas and Boundaries from UAS Imagery Using
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2008
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Chmielewski, S.[Szymon],
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Natapov, A.[Asya],
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Introducing GEOBIA to Landscape Imageability Assessment:
A Multi-Temporal Case Study of the Nature Reserve Kózki, Poland,
RS(12), No. 17, 2020, pp. xx-yy.
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2009
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Shin, S.J.[Su-Jin],
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2009
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Martins, V.S.[Vitor S.],
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2009
Deep learning, Convolutional neural network, Land cover, Aerial imagery
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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.,
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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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Bosch, M.,
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WACV19(648-656)
IEEE DOI
1904
image segmentation, learning (artificial intelligence),
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Training data
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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)
IEEE DOI
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)
IEEE DOI
1812
Roads, Image segmentation, Semantics, Task analysis, Training,
Convolution, Satellites
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Samy, M.,
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NU-Net: Deep Residual Wide Field of View Convolutional Neural Network
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DeepGlobe18(267-2674)
IEEE DOI
1812
Image segmentation, Semantics, Roads, Computer architecture,
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DeepGlobe18(272-2723)
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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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1812
Uncertainty, Image segmentation, Logic gates, Semantics,
Computer vision, Measurement uncertainty, Image resolution
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DeepGlobe18(247-2474)
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Semantics, Image segmentation, Feature extraction, Tuning,
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Ghosh, A.,
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1812
Semantics, Image segmentation, Remote sensing, Convolution, Training,
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SPMK and Grabcut Based Target Extraction From High Resolution Remote
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Statistics For Patch Observations,
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Object-Based Land Cover Classification for ALOS Image Combining TM
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And: A2, A1, Only:
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Airplanes
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Application of Object Based Approach to Heterogeneous Land Cover/Use,
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Jia, Z.,
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Study and application of a multi-resolution hierarchy remote sensing
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Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Subpixel Target, Subpixel Land Use, Tiny Objects .