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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B2-2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-667-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-667-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
12 Aug 2020
| 12 Aug 2020
IMPROVING THE CLASSIFICATION OF LAND USE OBJECTS USING DENSE CONNECTIVITY OF CONVOLUTIONAL NEURAL NETWORKS
A. Gujrathi
Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, Germany
Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, India
C. Yang
Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, Germany
F. Rottensteiner
Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, Germany
K. M. Buddhiraju
Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, India
C. Heipke
Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, Germany
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