A scalable dataflow accelerator for real time onboard hyperspectral image classification

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Title: A scalable dataflow accelerator for real time onboard hyperspectral image classification
Authors: Wang, S
Niu, X
Ma, N
Luk, W
Leong, P
Peng, Y
Item Type: Conference Paper
Abstract: © Springer International Publishing Switzerland 2016.Real-time hyperspectral image classification is a necessary primitive in many remotely sensed image analysis applications. Previous work has shown that Support Vector Machines (SVMs) can achieve high classification accuracy, but unfortunately it is very computationally expensive. This paper presents a scalable dataflow accelerator on FPGA for real-time SVM classification of hyperspectral images.To address data dependencies, we adapt multi-class classifier based on Hamming distance. The architecture is scalable to high problem dimensionality and available hardware resources. Implementation results show that the FPGA design achieves speedups of 26x, 1335x, 66x and 14x compared with implementations on ZYNQ, ARM, DSP and Xeon processors. Moreover, one to two orders of magnitude reduction in power consumption is achieved for the AVRIS hyperspectral image datasets.
Issue Date: 13-Mar-2016
Date of Acceptance: 13-Mar-2016
URI: http://hdl.handle.net/10044/1/33326
DOI: http://dx.doi.org/10.1007/978-3-319-30481-6_9
ISBN: 9783319304809
ISSN: 0302-9743
Publisher: Springer International Publishing
Start Page: 105
End Page: 116
Journal / Book Title: Applied Reconfigurable Computing: 12th International Symposium, ARC 2016 Mangaratiba, RJ, Brazil, March 22–24, 2016 Proceedings
Volume: 9625
Copyright Statement: © Springer-Verlag 2016. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-30481-6_9
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Commission of the European Communities
Funder's Grant Number: EP/I012036/1
PO 1553380
671653
Conference Name: Rio de Janeiro, Brazil
Keywords: Artificial Intelligence & Image Processing
08 Information And Computing Sciences
Publication Status: Published
Start Date: 2016-03-22
Finish Date: 2016-03-24
Conference Place: 12th International Symposium, ARC 2016 Mangaratiba
Appears in Collections:Faculty of Engineering
Computing



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