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      Deformable ConvNet with Aspect Ratio Constrained NMS for Object Detection in Remote Sensing Imagery

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      Remote Sensing
      MDPI AG

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          Unmanned aerial systems for photogrammetry and remote sensing: A review

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            Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

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              Multi-class geospatial object detection and geographic image classification based on collection of part detectors

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                Author and article information

                Journal
                Remote Sensing
                Remote Sensing
                MDPI AG
                2072-4292
                December 2017
                December 13 2017
                : 9
                : 12
                : 1312
                Article
                10.3390/rs9121312
                a53d0a5a-88f6-47bf-9895-71756d01d0da
                © 2017

                https://creativecommons.org/licenses/by/4.0/

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