Object detection in pleiades images using deep features

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2016-November, Issue , 2016, Pages 1552-1555

  Dahmane, M ^a   Foucher, S ^a   Beaulieu, M ^a   Riendeau, F ^b   Bouroubi, Y ^b   Benoit, M ^b  

^a Cent de Recherche Informatique de Montreal   (Canada)

^b Effigis Géo Solutions ^*  (Canada)

Author keywords

deep learning; Object detection; very high resolution

Indexed keywords

EID: 85007492933     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2016.7729396     Document Type: Conference Paper

References (24)

1. T. Moranduzzo and F. Melgani, "Detecting cars in uav images with a catalog-based approach, " IEEE Trans. on Rem. Sens. And Geo., vol. 52, no. 10, pp. 6356-6367, Oct 2014.
2. S. Tuermer, F. Kurz, P. Reinartz, and U. Stilla, "Airborne Vehicle Detection in Dense Urban Areas Using HoG Features and Disparity Maps, " IEEE Sel. Topics Appl. Earth Obs. Rem. Sens., vol. 6, no. 6, pp. 2327-2337, Dec 2013.
3. S. Kluckner, G. Pacher, H. Grabner, H. Bischof, and J. Bauer, "A 3D Teacher for Car Detection in Aerial Images, " in ICCV 2007, Oct 2007, pp. 1-8.
4. L-W. Tsai, J-W. Hsieh, and K-C. Fan, "Vehicle Detection Using Normalized Color and Edge Map, " IEEE Trans. on Image Proc., vol. 16, no. 3, pp. 850-864, March 2007.
5. X. Chen, S. Xiang, C-L Liu, and C-H Pan, "Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks, " Geo. And Remote Sens. Letters, vol. 11, no. 10, pp. 1797-1801, Oct 2014.
6. J. Sivic and A. Zisserman, "Efficient visual search of videos cast as text retrieval, " IEEE Trans. on PAMI, vol. 31, no. 4, pp. 591-606, April 2009.
7. H. Sun, X. Sun, H. Wang, Y. Li, and X. Li, "Automatic Target Detection in High-Resolution Remote Sensing Images Using Spatial Sparse Coding Bag-of-Words Model, " IEEE Geo. And Rem. Sens. Let., vol. 9, no. 1, pp. 109-113, Jan 2012.
8. Y. Yang and S. Newsam, "Bag-of-visual-words and Spatial Extensions for Land-use Classification, " in ACM SIGSPATIAL, New York, NY, USA, 2010, GIS '10, pp. 270-279, ACM.
9. F. Perronnin, J. Sánchez, and T. Mensink, "Improving the fisher kernel for large-scale image classification, " in Proceedings of the 11th European Conference on Computer Vision: Part IV, 2010, pp. 143-156.
10. R. Negrel, D. Picard, and P.-H. Gosselin, "Evaluation of second-order visual features for land-use classification, " in CBMI, June 2014, pp. 1-5.
11. X. Bai, H. Zhang, and J. Zhou, "VHR Object Detection Based on Structural Feature Extraction and Query Expansion, " IEEE Trans. on Rem. Sens. And Geo., vol. 52, no. 10, pp. 6508-6520, Oct 2014.
12. W. Sandham, M. Leggett, and F. Aminzadeh, Geophysical Applications of Artificial Neural Networks and Fuzzy Logic (Modern Approaches in Geophysics, V. 21), Kluwer Academic Publishers, 2004.
13. M. E. Midhun, Sarath R Nair, V. T. Nidhin Prabhakar, and S. Sachin Kumar, "Deep Model for Classification of Hyperspectral Image Using Restricted Boltzmann Machine, " in ICONIAAC. 2014, pp. 35-35, ACM.
14. D. Tuia, R. Flamary, and N. Courty, "Multiclass feature learning for hyperspectral image classification: Sparse and hierarchical solutions, " ISPRS Journal of Photo. And Rem. Sens., vol. 105, pp. 272-285, 2015.
15. O. Firat, G. Can, and F. Yarman Vural, "Representation learning for contextual object and region detection in remote sensing, " in ICPR, 2014, p. 3708-3713.
16. Y. Chen, Z. Lin, X. Zhao, G. Wang, and Y. Gu, "Deep Learning-Based Classification of Hyperspectral Data, " IEEE Sel. Topics Appl. Earth Obs. Rem. Sens., vol. 7, no. 6, pp. 2094-2108, June 2014.
17. P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun, "OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks, " CoRR, vol. Abs/1312. 6229, 2013.
18. Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell, "Caffe: Convolutional architecture for fast feature embedding, " arXiv: 1408. 5093, 2014.
19. A-S. Razavian, H. Azizpour, J. Sullivan, and S. Carlsson, "CNN Features off-the-shelf: An Astounding Baseline for Recognition, " CoRR, vol. 1403. 6382, 2014.
20. O. A. B. Penatti, K. Nogueira, and J. A. Dos Santos, "Do deep features generalize from everyday objects to remote sensing and aerial scenes domains, " in CVPRW, June 2015, pp. 44-51.
21. T. Li, J. Zhang, and Y. Zhang, "Classification of hyperspectral image based on deep belief networks, " in ICIP, Oct 2014, pp. 5132-5136.
22. M. Castelluccio, G. Poggi, C. Sansone, and L. Verdoliva, "Land Use Classification in Remote Sensing Images by Convolutional Neural Networks, " CoRR, vol. Abs/1508. 00092, 2015.
23. C. Szegedy et al., "Going deeper with convolutions, " in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2015, pp. 1-9.
24. O. Russakovsky et al., "ImageNet Large Scale Visual Recognition Challenge, " International Journal of Computer Vision (IJCV), vol. 115, no. 3, pp. 211-252, 2015.