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Large-scale semantic classification: Outcome of the first year of inria aerial image labeling benchmark

Publication ,  Conference
Huang, B; Lu, K; Audebert, N; Khalel, A; Tarabalka, Y; Malof, J; Boulch, A; Saux, BL; Collins, L; Bradbury, K; Lefèvre, S; El-Saban, M
Published in: International Geoscience and Remote Sensing Symposium (IGARSS)
October 31, 2018

Over the recent years, there has been an increasing interest in large-scale classification of remote sensing images. In this context, the Inria Aerial Image Labeling Benchmark has been released online in December 2016. In this paper, we discuss the outcomes of the first year of the benchmark contest, which consisted in dense labeling of aerial images into building/not building classes, covering areas of five cities not present in the training set. We present four methods with the highest numerical accuracies, all four being convolutional neural network approaches. It is remarkable that three of these methods use the U-net architecture, which has thus proven to become a new standard in image dense labeling.

Duke Scholars

Published In

International Geoscience and Remote Sensing Symposium (IGARSS)

DOI

ISBN

9781538671504

Publication Date

October 31, 2018

Volume

2018-July

Start / End Page

6947 / 6950
 

Citation

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Huang, B., Lu, K., Audebert, N., Khalel, A., Tarabalka, Y., Malof, J., … El-Saban, M. (2018). Large-scale semantic classification: Outcome of the first year of inria aerial image labeling benchmark. In International Geoscience and Remote Sensing Symposium (IGARSS) (Vol. 2018-July, pp. 6947–6950). https://doi.org/10.1109/IGARSS.2018.8518525
Huang, B., K. Lu, N. Audebert, A. Khalel, Y. Tarabalka, J. Malof, A. Boulch, et al. “Large-scale semantic classification: Outcome of the first year of inria aerial image labeling benchmark.” In International Geoscience and Remote Sensing Symposium (IGARSS), 2018-July:6947–50, 2018. https://doi.org/10.1109/IGARSS.2018.8518525.
Huang B, Lu K, Audebert N, Khalel A, Tarabalka Y, Malof J, et al. Large-scale semantic classification: Outcome of the first year of inria aerial image labeling benchmark. In: International Geoscience and Remote Sensing Symposium (IGARSS). 2018. p. 6947–50.
Huang, B., et al. “Large-scale semantic classification: Outcome of the first year of inria aerial image labeling benchmark.” International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2018-July, 2018, pp. 6947–50. Scopus, doi:10.1109/IGARSS.2018.8518525.
Huang B, Lu K, Audebert N, Khalel A, Tarabalka Y, Malof J, Boulch A, Saux BL, Collins L, Bradbury K, Lefèvre S, El-Saban M. Large-scale semantic classification: Outcome of the first year of inria aerial image labeling benchmark. International Geoscience and Remote Sensing Symposium (IGARSS). 2018. p. 6947–6950.

Published In

International Geoscience and Remote Sensing Symposium (IGARSS)

DOI

ISBN

9781538671504

Publication Date

October 31, 2018

Volume

2018-July

Start / End Page

6947 / 6950