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Kao_bibtex

May 28th, 2017
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  1. @article{poullis2014tensor,
  2.   title={Tensor-Cuts: A simultaneous multi-type feature extractor and classifier and its application to road extraction from satellite images},
  3.   author={Poullis, Charalambos},
  4.   journal={ISPRS Journal of Photogrammetry and Remote Sensing},
  5.   volume={95},
  6.   pages={93--108},
  7.   year={2014},
  8.   publisher={Elsevier}
  9. }
  10. @misc{muruganandham2016semantic,
  11.   title={Semantic Segmentation of Satellite Images using Deep Learning},
  12.   author={Muruganandham, Shivaprakash},
  13.   year={2016}
  14. }
  15. @article{saito2016multiple,
  16.   title={Multiple object extraction from aerial imagery with convolutional neural networks},
  17.   author={Saito, Shunta and Yamashita, Takayoshi and Aoki, Yoshimitsu},
  18.   journal={Electronic Imaging},
  19.   volume={2016},
  20.   number={10},
  21.   pages={1--9},
  22.   year={2016},
  23.   publisher={Society for Imaging Science and Technology}
  24. }
  25. @inproceedings{long2015fully,
  26.   title={Fully convolutional networks for semantic segmentation},
  27.   author={Long, Jonathan and Shelhamer, Evan and Darrell, Trevor},
  28.   booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  29.   pages={3431--3440},
  30.   year={2015}
  31. }
  32. @inproceedings{noh2015learning,
  33.   title={Learning deconvolution network for semantic segmentation},
  34.   author={Noh, Hyeonwoo and Hong, Seunghoon and Han, Bohyung},
  35.   booktitle={Proceedings of the IEEE International Conference on Computer Vision},
  36.   pages={1520--1528},
  37.   year={2015}
  38. }
  39. @article{badrinarayanan2015segnet1,
  40.   title={Segnet: A deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling},
  41.   author={Badrinarayanan, Vijay and Handa, Ankur and Cipolla, Roberto},
  42.   journal={arXiv preprint arXiv:1505.07293},
  43.   year={2015}
  44. }
  45. @phdthesis{mnih2013machine,
  46.   title={Machine learning for aerial image labeling},
  47.   author={Mnih, Volodymyr},
  48.   year={2013},
  49.   school={University of Toronto}
  50. }
  51. @article{badrinarayanan2015segnet2,
  52.   title={Segnet: A deep convolutional encoder-decoder architecture for image segmentation},
  53.   author={Badrinarayanan, Vijay and Kendall, Alex and Cipolla, Roberto},
  54.   journal={arXiv preprint arXiv:1511.00561},
  55.   year={2015}
  56. }
  57. @inproceedings{volpi2015semantic,
  58.   title={Semantic segmentation of urban scenes by learning local class interactions},
  59.   author={Volpi, Michele and Ferrari, Vittorio},
  60.   booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  61.   pages={1--9},
  62.   year={2015}
  63. }
  64. @article{liu2015detection,
  65.   title={Detection guided deconvolutional network for hierarchical feature learning},
  66.   author={Liu, Jing and Liu, Bingyuan and Lu, Hanqing},
  67.   journal={Pattern Recognition},
  68.   volume={48},
  69.   number={8},
  70.   pages={2645--2655},
  71.   year={2015},
  72.   publisher={Elsevier}
  73. }
  74.  
  75. @inproceedings{hong2015decoupled,
  76.   title={Decoupled deep neural network for semi-supervised semantic segmentation},
  77.   author={Hong, Seunghoon and Noh, Hyeonwoo and Han, Bohyung},
  78.   booktitle={Advances in Neural Information Processing Systems},
  79.   pages={1495--1503},
  80.   year={2015}
  81. }
  82.  
  83. @inproceedings{ronneberger2015u,
  84.   title={U-net: Convolutional networks for biomedical image segmentation},
  85.   author={Ronneberger, Olaf and Fischer, Philipp and Brox, Thomas},
  86.   booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  87.   pages={234--241},
  88.   year={2015},
  89.   organization={Springer}
  90. }
  91.  
  92. @article{andrearczyk2016using,
  93.   title={Using filter banks in convolutional neural networks for texture classification},
  94.   author={Andrearczyk, Vincent and Whelan, Paul F},
  95.   journal={Pattern Recognition Letters},
  96.   volume={84},
  97.   pages={63--69},
  98.   year={2016},
  99.   publisher={Elsevier}
  100. }
  101.  
  102. @article{wang2015road,
  103.   title={Road network extraction: A neural-dynamic framework based on deep learning and a finite state machine},
  104.   author={Wang, Jun and Song, Jingwei and Chen, Mingquan and Yang, Zhi},
  105.   journal={International Journal of Remote Sensing},
  106.   volume={36},
  107.   number={12},
  108.   pages={3144--3169},
  109.   year={2015},
  110.   publisher={Taylor \& Francis}
  111. }
  112.  
  113. @inproceedings{visin2016reseg,
  114.   title={Reseg: A recurrent neural network-based model for semantic segmentation},
  115.   author={Visin, Francesco and Ciccone, Marco and Romero, Adriana and Kastner, Kyle and Cho, Kyunghyun and Bengio, Yoshua and Matteucci, Matteo and Courville, Aaron},
  116.   booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  117.   pages={41--48},
  118.   year={2016}
  119. }
  120.  
  121. @article{liu2016deep,
  122.   title={Deep Learning Markov Random Field for Semantic Segmentation},
  123.   author={Liu, Ziwei and Li, Xiaoxiao and Luo, Ping and Loy, Chen Change and Tang, Xiaoou},
  124.   journal={arXiv preprint arXiv:1606.07230},
  125.   year={2016}
  126. }
  127.  
  128. @article{koltun2011efficient,
  129.   title={Efficient inference in fully connected crfs with gaussian edge potentials},
  130.   author={Koltun, Vladlen},
  131.   journal={Adv. Neural Inf. Process. Syst},
  132.   volume={2},
  133.   number={3},
  134.   pages={4},
  135.   year={2011}
  136. }
  137.  
  138. @article{chen2014semantic,
  139.   title={Semantic image segmentation with deep convolutional nets and fully connected crfs},
  140.   author={Chen, Liang-Chieh and Papandreou, George and Kokkinos, Iasonas and Murphy, Kevin and Yuille, Alan L},
  141.   journal={arXiv preprint arXiv:1412.7062},
  142.   year={2014}
  143. }
  144. @article{chen2016deeplab,
  145.   title={Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs},
  146.   author={Chen, Liang-Chieh and Papandreou, George and Kokkinos, Iasonas and Murphy, Kevin and Yuille, Alan L},
  147.   journal={arXiv preprint arXiv:1606.00915},
  148.   year={2016}
  149. }
  150.  
  151. @article{audebert2017segment,
  152.   title={Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images},
  153.   author={Audebert, Nicolas and Saux, Bertrand Le and Lef{\`e}vre, S{\'e}bastien},
  154.  journal={Remote Sensing},
  155.  volume={9},
  156.  number={4},
  157.  pages={368},
  158.  year={2017},
  159.  publisher={Multidisciplinary Digital Publishing Institute}
  160. }
  161.  
  162. @article{clevert2015fast,
  163.  title={Fast and accurate deep network learning by exponential linear units (elus)},
  164.  author={Clevert, Djork-Arn{\'e} and Unterthiner, Thomas and Hochreiter, Sepp},
  165.  journal={arXiv preprint arXiv:1511.07289},
  166.  year={2015}
  167. }
  168.  
  169. @article{simonyan2014very,
  170.  title={Very deep convolutional networks for large-scale image recognition},
  171.  author={Simonyan, Karen and Zisserman, Andrew},
  172.  journal={arXiv preprint arXiv:1409.1556},
  173.  year={2014}
  174. }
  175.  
  176. @article{ioffe2015batch,
  177.  title={Batch normalization: Accelerating deep network training by reducing internal covariate shift},
  178.  author={Ioffe, Sergey and Szegedy, Christian},
  179.  journal={arXiv preprint arXiv:1502.03167},
  180.  year={2015}
  181. }
  182.  
  183. @article{kao2017road,
  184.  title={An Enhanced Deep Convolutional Encoder-Decoder Network for Road Segmentation on Aerial Imagery
  185.  author={Panboonyuen, Teerapong and Vateekul, Peerapon and Jitkajornwanich, Kulsawasd and Lawawirojwong, Siam},
  186.  journal={The 13th International Conference on Computing and Information Technology},
  187.  year={2017}
  188. }
  189.  
  190. @article{kendall2015bayesian,
  191.  title={Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding},
  192.  author={Kendall, Alex and Badrinarayanan, Vijay and Cipolla, Roberto},
  193.  journal={arXiv preprint arXiv:1511.02680},
  194.  year={2015}
  195. }
  196. @article{kingma2014adam,
  197.  title={Adam: A method for stochastic optimization},
  198.  author={Kingma, Diederik and Ba, Jimmy},
  199.  journal={arXiv preprint arXiv:1412.6980},
  200.  year={2014}
  201. }
  202.  
  203. @article{gonzalez1977digital,
  204.  title={Digital image processing},
  205.  author={Gonzalez, RS and Wintz, Paul},
  206.  year={2008},
  207.  publisher={Addison-Wesley Publishing Co., Inc., Reading, MA}
  208. }
  209. @misc{mcgarigal2008landscape,
  210.  title={Landscape metrics for categorical map patterns},
  211.  author={McGarigal, K},
  212.  year={2008},
  213.  publisher={Amherst, MA: Author}
  214. }
  215.  
  216. @article{huang2009road,
  217.  title={Road centreline extraction from high-resolution imagery based on multiscale structural features and support vector machines},
  218.  author={Huang, Xin and Zhang, Liangpei},
  219.  journal={International Journal of Remote Sensing},
  220.  volume={30},
  221.  number={8},
  222.  pages={1977--1987},
  223.  year={2009},
  224.  publisher={Taylor \& Francis}
  225. }
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