NDLI: Distributed SAR image change detection based on Spark

Content Provider	IEEE Xplore Digital Library
Author	Huming Zhu Yuqi Guo Mingwei Niu Guodong Yang Licheng Jiao
Copyright Year	2015
Description	Author affiliation: Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ., Xidian Univ., Xi'an, China (Huming Zhu; Yuqi Guo; Mingwei Niu; Guodong Yang; Licheng Jiao)
Abstract	SAR image change detection is a fundamental process in many applications such as damage assessment, natural disasters monitoring and urban planning. Now as the scale of images and the complexity of algorithms rise, sequential methods have been more and more inefficient and powerless. In this paper, we propose a distributed parallel image change detection method based on Spark, an in-memory cluster computing framework, which provides an original support for iterative jobs. The proposed method can make full use of the power of a cluster or a set of commercial computers to process large scale SAR images. Different from the traditional image change detection, a distributed parallel kernel fuzzy c-means clustering algorithm, which is integrated with Spark, is used to part the change map into changed area and unchanged area. Our experimental results on some large scale SAR images show good effectiveness and accelerating performance. Compared to Hadoop based KFCM, the speedup can achieve 18.9 in maximum.
Starting Page	4149
Ending Page	4152
File Size	639168
Page Count	4
File Format	PDF
e-ISBN	9781479979295
DOI	10.1109/IGARSS.2015.7326739
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sparks Clustering algorithms Change detection algorithms Computational modeling Synthetic aperture radar Kernel Algorithm design and analysis KFCM Synthetic aperture radar(SAR) change detection Spark
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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