Streamlining machine learning in mobile devices for remote sensing

Andrei D. Coronel; Ma Regina E. Estuar; Kyle Kristopher P. Garcia; Bon Lemuel T. Dela Cruz; Jose Emmanuel Torrijos; Hadrian Paulo M. Lim; Patricia Angela R. Abu; John Noel C. Victorino

doi:10.1117/12.2279061

Streamlining machine learning in mobile devices for remote sensing

Andrei D. Coronel, Ma Regina E. Estuar, Kyle Kristopher P. Garcia, Bon Lemuel T. Dela Cruz, Jose Emmanuel Torrijos, Hadrian Paulo M. Lim, Patricia Angela R. Abu, John Noel C. Victorino

Department of Information Systems and Computer Science

Ateneo de Manila University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Fifth International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2017
Editors	Vincent Ambrosia, Kyriacos Themistocleous, Silas Michaelides, Giorgos Papadavid, Gunter Schreier, Diofantos G. Hadjimitsis
Publisher	SPIE
ISBN (Electronic)	9781510613522
DOIs	https://doi.org/10.1117/12.2279061
State	Published - 2017
Event	5th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2017 - Paphos, Cyprus Duration: Mar 20 2017 → Mar 23 2017

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	10444
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	5th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2017
Country/Territory	Cyprus
City	Paphos
Period	3/20/17 → 3/23/17

ASJC Scopus Subject Areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Keywords

Machine learning
Mobile devices
Remote sensing
Smart farming

Access to Document

10.1117/12.2279061

Cite this

Coronel, A. D., Estuar, M. R. E., Garcia, K. K. P., Dela Cruz, B. L. T., Torrijos, J. E., Lim, H. P. M., Abu, P. A. R., & Victorino, J. N. C. (2017). Streamlining machine learning in mobile devices for remote sensing. In V. Ambrosia, K. Themistocleous, S. Michaelides, G. Papadavid, G. Schreier, & D. G. Hadjimitsis (Eds.), Fifth International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2017 Article 1044407 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10444). SPIE. https://doi.org/10.1117/12.2279061

Streamlining machine learning in mobile devices for remote sensing. / Coronel, Andrei D.; Estuar, Ma Regina E.; Garcia, Kyle Kristopher P. et al.
Fifth International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2017. ed. / Vincent Ambrosia; Kyriacos Themistocleous; Silas Michaelides; Giorgos Papadavid; Gunter Schreier; Diofantos G. Hadjimitsis. SPIE, 2017. 1044407 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10444).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Coronel, AD, Estuar, MRE, Garcia, KKP, Dela Cruz, BLT, Torrijos, JE, Lim, HPM, Abu, PAR & Victorino, JNC 2017, Streamlining machine learning in mobile devices for remote sensing. in V Ambrosia, K Themistocleous, S Michaelides, G Papadavid, G Schreier & DG Hadjimitsis (eds), Fifth International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2017., 1044407, Proceedings of SPIE - The International Society for Optical Engineering, vol. 10444, SPIE, 5th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2017, Paphos, Cyprus, 3/20/17. https://doi.org/10.1117/12.2279061

Coronel AD, Estuar MRE, Garcia KKP, Dela Cruz BLT, Torrijos JE, Lim HPM et al. Streamlining machine learning in mobile devices for remote sensing. In Ambrosia V, Themistocleous K, Michaelides S, Papadavid G, Schreier G, Hadjimitsis DG, editors, Fifth International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2017. SPIE. 2017. 1044407. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2279061

Coronel, Andrei D. ; Estuar, Ma Regina E. ; Garcia, Kyle Kristopher P. et al. / Streamlining machine learning in mobile devices for remote sensing. Fifth International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2017. editor / Vincent Ambrosia ; Kyriacos Themistocleous ; Silas Michaelides ; Giorgos Papadavid ; Gunter Schreier ; Diofantos G. Hadjimitsis. SPIE, 2017. (Proceedings of SPIE - The International Society for Optical Engineering).

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title = "Streamlining machine learning in mobile devices for remote sensing",

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author = "Coronel, {Andrei D.} and Estuar, {Ma Regina E.} and Garcia, {Kyle Kristopher P.} and {Dela Cruz}, {Bon Lemuel T.} and Torrijos, {Jose Emmanuel} and Lim, {Hadrian Paulo M.} and Abu, {Patricia Angela R.} and Victorino, {John Noel C.}",

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AU - Garcia, Kyle Kristopher P.

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AU - Torrijos, Jose Emmanuel

AU - Lim, Hadrian Paulo M.

AU - Abu, Patricia Angela R.

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A2 - Themistocleous, Kyriacos

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A2 - Papadavid, Giorgos

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A2 - Hadjimitsis, Diofantos G.

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Streamlining machine learning in mobile devices for remote sensing

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ASJC Scopus Subject Areas

Keywords

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