FPGA Implementation for Hyperspectral Target Detection with Adaptive Coherence Estimator

Xinhua Bai; Lu Li; Xiaoming Xie; Wei Li; Yuanfeng Wu; Lianru Gao

doi:10.1109/ICSIDP47821.2019.9173104

FPGA Implementation for Hyperspectral Target Detection with Adaptive Coherence Estimator

Xinhua Bai, Lu Li, Xiaoming Xie, Wei Li, Yuanfeng Wu, Lianru Gao

School of Information and Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Field-programmable gate arrays (FPGAs) offer promising tools for real-time on-board hyperspectral image (HSI) processing due to its higher computational speed and better reconfigurability. In this paper, the spectral matching target detection algorithm, namely adaptive coherence estimator (ACE), is implemented based on FPGA. The flow background statistics are used to calculate the background covariance matrix, and the Sherman-Morrison method is further used to process the covariance matrix inversion. The finally calculated results should separate targets from the whole pixels by a selected threshold. Evaluation of several hyperspectral data shows that the system has a higher speed than the traditional 3.60GHz CPU (about 77.74 times) without losing accuracy.

Original language	English
Title of host publication	ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728123455
DOIs	https://doi.org/10.1109/ICSIDP47821.2019.9173104
Publication status	Published - Dec 2019
Event	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, China Duration: 11 Dec 2019 → 13 Dec 2019

Publication series

Name	ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

Conference

Conference	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Country/Territory	China
City	Chongqing
Period	11/12/19 → 13/12/19

Keywords

Adaptive coherence estimator (ACE)
Field-programmable gate arrays (FPGAs)
Hyperspectral image (HSI)
Target detection

Access to Document

10.1109/ICSIDP47821.2019.9173104

Cite this

Bai, X., Li, L., Xie, X., Li, W., Wu, Y., & Gao, L. (2019). FPGA Implementation for Hyperspectral Target Detection with Adaptive Coherence Estimator. In ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019 Article 9173104 (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIDP47821.2019.9173104

Bai, Xinhua ; Li, Lu ; Xie, Xiaoming et al. / FPGA Implementation for Hyperspectral Target Detection with Adaptive Coherence Estimator. ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019).

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title = "FPGA Implementation for Hyperspectral Target Detection with Adaptive Coherence Estimator",

abstract = "Field-programmable gate arrays (FPGAs) offer promising tools for real-time on-board hyperspectral image (HSI) processing due to its higher computational speed and better reconfigurability. In this paper, the spectral matching target detection algorithm, namely adaptive coherence estimator (ACE), is implemented based on FPGA. The flow background statistics are used to calculate the background covariance matrix, and the Sherman-Morrison method is further used to process the covariance matrix inversion. The finally calculated results should separate targets from the whole pixels by a selected threshold. Evaluation of several hyperspectral data shows that the system has a higher speed than the traditional 3.60GHz CPU (about 77.74 times) without losing accuracy.",

keywords = "Adaptive coherence estimator (ACE), Field-programmable gate arrays (FPGAs), Hyperspectral image (HSI), Target detection",

author = "Xinhua Bai and Lu Li and Xiaoming Xie and Wei Li and Yuanfeng Wu and Lianru Gao",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 ; Conference date: 11-12-2019 Through 13-12-2019",

year = "2019",

month = dec,

doi = "10.1109/ICSIDP47821.2019.9173104",

language = "English",

series = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",

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Bai, X, Li, L, Xie, X, Li, W, Wu, Y & Gao, L 2019, FPGA Implementation for Hyperspectral Target Detection with Adaptive Coherence Estimator. in ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019., 9173104, ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019, Chongqing, China, 11/12/19. https://doi.org/10.1109/ICSIDP47821.2019.9173104

FPGA Implementation for Hyperspectral Target Detection with Adaptive Coherence Estimator. / Bai, Xinhua; Li, Lu; Xie, Xiaoming et al.
ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9173104 (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - FPGA Implementation for Hyperspectral Target Detection with Adaptive Coherence Estimator

AU - Bai, Xinhua

AU - Li, Lu

AU - Xie, Xiaoming

AU - Li, Wei

AU - Wu, Yuanfeng

AU - Gao, Lianru

PY - 2019/12

Y1 - 2019/12

N2 - Field-programmable gate arrays (FPGAs) offer promising tools for real-time on-board hyperspectral image (HSI) processing due to its higher computational speed and better reconfigurability. In this paper, the spectral matching target detection algorithm, namely adaptive coherence estimator (ACE), is implemented based on FPGA. The flow background statistics are used to calculate the background covariance matrix, and the Sherman-Morrison method is further used to process the covariance matrix inversion. The finally calculated results should separate targets from the whole pixels by a selected threshold. Evaluation of several hyperspectral data shows that the system has a higher speed than the traditional 3.60GHz CPU (about 77.74 times) without losing accuracy.

AB - Field-programmable gate arrays (FPGAs) offer promising tools for real-time on-board hyperspectral image (HSI) processing due to its higher computational speed and better reconfigurability. In this paper, the spectral matching target detection algorithm, namely adaptive coherence estimator (ACE), is implemented based on FPGA. The flow background statistics are used to calculate the background covariance matrix, and the Sherman-Morrison method is further used to process the covariance matrix inversion. The finally calculated results should separate targets from the whole pixels by a selected threshold. Evaluation of several hyperspectral data shows that the system has a higher speed than the traditional 3.60GHz CPU (about 77.74 times) without losing accuracy.

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KW - Field-programmable gate arrays (FPGAs)

KW - Hyperspectral image (HSI)

KW - Target detection

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T3 - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

BT - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

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Bai X, Li L, Xie X, Li W, Wu Y, Gao L. FPGA Implementation for Hyperspectral Target Detection with Adaptive Coherence Estimator. In ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 9173104. (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019). doi: 10.1109/ICSIDP47821.2019.9173104

FPGA Implementation for Hyperspectral Target Detection with Adaptive Coherence Estimator

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