Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery
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Héctor F. Satizábal | Andrés Pérez-Uribe | Bertrand Cannelle | Julien Rebetez | Matteo Mota | Dorothea Noll | Lucie Büchi | Marina Wendling | Stéphane Burgos | A. Pérez-Uribe | B. Cannelle | Matteo Mota | Dorothea Noll | H. Satizábal | Julien Rebetez | L. Büchi | Marina Wendling | S. Burgos
[1] Guoying Zhao,et al. BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification , 2014, IEEE Transactions on Image Processing.
[2] Mark Berman,et al. Segmenting multispectral Landsat TM images into field units , 2002, IEEE Trans. Geosci. Remote. Sens..
[3] F. López-Granados,et al. Weed Mapping in Early-Season Maize Fields Using Object-Based Analysis of Unmanned Aerial Vehicle (UAV) Images , 2013, PloS one.
[4] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[5] Paul W. Fieguth,et al. Extended local binary patterns for texture classification , 2012, Image Vis. Comput..
[6] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[7] F. López-Granados,et al. Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV , 2014 .
[8] Paul W. Fieguth,et al. Texture Classification from Random Features , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Christian Heipke,et al. Automatic Extraction of Field Boundaries from Aerial Imagery , 2004 .
[10] Hattarki Pooja,et al. BRINT: BINARY ROTATION INVARIANT AND NOISE TOLERANT TEXTURE CLASSIFICATION , 2017 .
[11] César Hervás-Martínez,et al. A multi-objective neural network based method for cover crop identification from remote sensed data , 2012, Expert Syst. Appl..