TY - GEN
T1 - Feature extraction and tracking for large-scale geospatial data
AU - Yu, Lina
AU - Zhu, Feiyu
AU - Yu, Hongfeng
AU - Wang, Jun
AU - Kuo, Kwo Sen
N1 - Funding Information:
This research has been sponsored in part by the National Science Foundation through grants IIS-1423487 and ICER-1541043, and the NASA Advanced Information Systems Technology (AIST) program.
Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - Feature extraction and tracking is a fundamental operation used in many geoscience applications. In this paper, we present a scalable method for computing and tracking features on distributed memory machines for large-scale geospatial data. We carefully apply new communication schemes to minimize the data exchanged among the computing nodes in building and updating the global connectivity information of features. We present a theoretical complexity analysis, and show that our method can significantly reduce the communication cost compared to the traditional method.
AB - Feature extraction and tracking is a fundamental operation used in many geoscience applications. In this paper, we present a scalable method for computing and tracking features on distributed memory machines for large-scale geospatial data. We carefully apply new communication schemes to minimize the data exchanged among the computing nodes in building and updating the global connectivity information of features. We present a theoretical complexity analysis, and show that our method can significantly reduce the communication cost compared to the traditional method.
KW - Feature extraction and tracking
KW - geospatial data
KW - large-scale data
KW - parallel and distributed computing
UR - http://www.scopus.com/inward/record.url?scp=85007482993&partnerID=8YFLogxK
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U2 - 10.1109/IGARSS.2016.7729384
DO - 10.1109/IGARSS.2016.7729384
M3 - Conference contribution
AN - SCOPUS:85007482993
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1504
EP - 1507
BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Y2 - 10 July 2016 through 15 July 2016
ER -