Deep learning-based object recognition in multispectral satellite imagery for real-time applications

Author:

Gudžius PovilasORCID,Kurasova OlgaORCID,Darulis Vytenis,Filatovas ErnestasORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference65 articles.

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3. Ball, J., Anderson, D., Chan, C.S.: A comprehensive survey of deep learning in remote sensing: theories, tools and challenges for the community. J. Appl. Rem. Sens. 4(11), 042609 (2017)

4. Belward, A.S., Skøien, J.O.: Who launched what, when and why; trends in global land-cover observation capacity from civilian earth observation satellites. J. Photogr. Rem. Sens. 103, 115–128 (2015)

5. Canziani, A., Paszke, A., Culurciello, E.: An analysis of deep neural network models for practical applications (2016). Preprint at https://arxiv.org/abs/1605.07678.

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