An optimized water detection algorithm for SAR images utilizing SOPC technologies

Yan Liu; Lin Li; Yizhuang Xie; Liang Chen; Yi Deng

An optimized water detection algorithm for SAR images utilizing SOPC technologies

Yan Liu, Lin Li, Yizhuang Xie^*, Liang Chen, Yi Deng

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to conference › Paper › peer-review

3 Citations (Scopus)

Abstract

This paper investigates a water detection algorithm of region-of-interest extraction based on the combination of sobel edge detection and contrast stretching transformation. The implementation of the proposed method is utilized for SAR (Synthetic Aperture Radar) imaging with SOPC (Systems on a Programmable Chip) embedded technology. It also puts forward an effective and realizable approach for the parallel processing data. The water detection algorithm is first optimized for SOPC system and is implemented on Xilinx Zynq-7020 chip with dual cortex-A9 ARM processors. As a result, the average consumption time of water detection algorithm reduces over 38 percent, which ensures the real-time requirement in the real-time object detection system.

Original language	English
Publication status	Published - 2015
Event	IET International Radar Conference 2015 - Hangzhou, China Duration: 14 Oct 2015 → 16 Oct 2015

Conference

Conference	IET International Radar Conference 2015
Country/Territory	China
City	Hangzhou
Period	14/10/15 → 16/10/15

Keywords

ARM
SAR
SOPC
Water detection

Cite this

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title = "An optimized water detection algorithm for SAR images utilizing SOPC technologies",

abstract = "This paper investigates a water detection algorithm of region-of-interest extraction based on the combination of sobel edge detection and contrast stretching transformation. The implementation of the proposed method is utilized for SAR (Synthetic Aperture Radar) imaging with SOPC (Systems on a Programmable Chip) embedded technology. It also puts forward an effective and realizable approach for the parallel processing data. The water detection algorithm is first optimized for SOPC system and is implemented on Xilinx Zynq-7020 chip with dual cortex-A9 ARM processors. As a result, the average consumption time of water detection algorithm reduces over 38 percent, which ensures the real-time requirement in the real-time object detection system.",

keywords = "ARM, SAR, SOPC, Water detection",

author = "Yan Liu and Lin Li and Yizhuang Xie and Liang Chen and Yi Deng",

year = "2015",

language = "English",

note = "IET International Radar Conference 2015 ; Conference date: 14-10-2015 Through 16-10-2015",

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TY - CONF

T1 - An optimized water detection algorithm for SAR images utilizing SOPC technologies

AU - Liu, Yan

AU - Li, Lin

AU - Xie, Yizhuang

AU - Chen, Liang

AU - Deng, Yi

PY - 2015

Y1 - 2015

N2 - This paper investigates a water detection algorithm of region-of-interest extraction based on the combination of sobel edge detection and contrast stretching transformation. The implementation of the proposed method is utilized for SAR (Synthetic Aperture Radar) imaging with SOPC (Systems on a Programmable Chip) embedded technology. It also puts forward an effective and realizable approach for the parallel processing data. The water detection algorithm is first optimized for SOPC system and is implemented on Xilinx Zynq-7020 chip with dual cortex-A9 ARM processors. As a result, the average consumption time of water detection algorithm reduces over 38 percent, which ensures the real-time requirement in the real-time object detection system.

AB - This paper investigates a water detection algorithm of region-of-interest extraction based on the combination of sobel edge detection and contrast stretching transformation. The implementation of the proposed method is utilized for SAR (Synthetic Aperture Radar) imaging with SOPC (Systems on a Programmable Chip) embedded technology. It also puts forward an effective and realizable approach for the parallel processing data. The water detection algorithm is first optimized for SOPC system and is implemented on Xilinx Zynq-7020 chip with dual cortex-A9 ARM processors. As a result, the average consumption time of water detection algorithm reduces over 38 percent, which ensures the real-time requirement in the real-time object detection system.

KW - ARM

KW - SAR

KW - SOPC

KW - Water detection

UR - http://www.scopus.com/inward/record.url?scp=84973570785&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84973570785

T2 - IET International Radar Conference 2015

Y2 - 14 October 2015 through 16 October 2015

ER -

An optimized water detection algorithm for SAR images utilizing SOPC technologies

Abstract

Conference

Keywords

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