TY - GEN
T1 - Remote sensing big data utilization for paddy growth stages detection
AU - Mulyono, S.
AU - Fanany, Mohamad Ivan
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/3/9
Y1 - 2016/3/9
N2 - Predicting and estimating the character of big data becomes paramount since it is laborious to deal with big data with conventional models and algorithms. Remote sensing big data from various satellites consist of many large-scale images that are exceptionally complex in terms of their structural, spectral, and textual features. Also, most of them are still in annotated form. Therefore, it is a challenge to explore them for detecting objects on the ground that are beneficial to humans using their sophisticated features. In this paper, we proposed a remote sensing big data for paddy growth stages detection, through multi-temporal analysis with a heuristic algorithm. Information derived from growth stages is very useful to know the needs of water, fertilizer, and crop planting calendar to increase productivity.
AB - Predicting and estimating the character of big data becomes paramount since it is laborious to deal with big data with conventional models and algorithms. Remote sensing big data from various satellites consist of many large-scale images that are exceptionally complex in terms of their structural, spectral, and textual features. Also, most of them are still in annotated form. Therefore, it is a challenge to explore them for detecting objects on the ground that are beneficial to humans using their sophisticated features. In this paper, we proposed a remote sensing big data for paddy growth stages detection, through multi-temporal analysis with a heuristic algorithm. Information derived from growth stages is very useful to know the needs of water, fertilizer, and crop planting calendar to increase productivity.
KW - growth stages
KW - heuristic algorithm
KW - paddy
KW - remote sensing
UR - http://www.scopus.com/inward/record.url?scp=84966560552&partnerID=8YFLogxK
U2 - 10.1109/ICARES.2015.7429821
DO - 10.1109/ICARES.2015.7429821
M3 - Conference contribution
AN - SCOPUS:84966560552
T3 - Proceedings of the 2015 IEEE International Conference on Aerospace Electronics and Remote Sensing, ICARES 2015
BT - Proceedings of the 2015 IEEE International Conference on Aerospace Electronics and Remote Sensing, ICARES 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2015
Y2 - 3 December 2015 through 5 December 2015
ER -