Multiview Deep Learning for Land-Use Classification

@article{Luus2015MultiviewDL,
  title={Multiview Deep Learning for Land-Use Classification},
  author={Francois P. S. Luus and Brian P. Salmon and Frans van den Bergh and Bodhaswar T. Maharaj},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2015},
  volume={12},
  pages={2448-2452}
}
A multiscale input strategy for multiview deep learning is proposed for supervised multispectral land-use classification, and it is validated on a well-known data set. The hypothesis that simultaneous multiscale views can improve composition-based inference of classes containing size-varying objects compared to single-scale multiview is investigated. The end-to-end learning system learns a hierarchical feature representation with the aid of convolutional layers to shift the burden of feature… CONTINUE READING
Highly Cited
This paper has 82 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 54 extracted citations

Deep learning in agriculture: A survey

Computers and Electronics in Agriculture • 2018
View 11 Excerpts
Highly Influenced

Application of deep learning to computer vision: A comprehensive study

2016 5th International Conference on Informatics, Electronics and Vision (ICIEV) • 2016
View 9 Excerpts
Highly Influenced

AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification

IEEE Transactions on Geoscience and Remote Sensing • 2017
View 5 Excerpts
Highly Influenced

82 Citations

020402016201720182019
Citations per Year
Semantic Scholar estimates that this publication has 82 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 15 references

Unsupervised feature coding on local patch manifold for satellite image scene classification

2014 IEEE Geoscience and Remote Sensing Symposium • 2014
View 3 Excerpts
Highly Influenced

A New Pan-Sharpening Method With Deep Neural Networks

IEEE Geoscience and Remote Sensing Letters • 2015
View 1 Excerpt

Pyramid of Spatial Relatons for Scene-Level Land Use Classification

IEEE Transactions on Geoscience and Remote Sensing • 2015

Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing • 2015
View 1 Excerpt

Deep Learning-Based Classification of Hyperspectral Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing • 2014
View 1 Excerpt

Evaluation of second-order visual features for land-use classification

2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI) • 2014
View 2 Excerpts

Similar Papers

Loading similar papers…