Radiometric correction of hyperspectral imaging data in spacial dimension and spectral dimension

Hongying Liu; Yana Guan; Qingli Li; Jingao Liu; Yongqi Xue

doi:10.1109/MACE.2011.5987946

Radiometric correction of hyperspectral imaging data in spacial dimension and spectral dimension

Hongying Liu^*
, Yana Guan
, Qingli Li
, Jingao Liu
, Yongqi Xue

^*Corresponding author for this work

School of Communication and Electronic Engineering

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

5 Scopus citations

Abstract

Because sample are affected by light, lens and sensor in optical channel in hyperspectral imaging system, image quality and spectrums are also affected. The paper proposes the gray correction coefficient algorithm with spatial dimension and spectral dimension to preprocess molecular hyperspectral imaging data. The experimental results show that the algorithm can carry out radiometric correction in spatial dimension and spectral dimension and eliminate the effects of light, lens and sensor. Image quality is significantly improved. The spectrum curves indicating true biochemical characteristics of the sample are extracted that classification results based on spectral information are better than uncorrected sample.

Original language	English
Title of host publication	2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings
Pages	4265-4268
Number of pages	4
DOIs	https://doi.org/10.1109/MACE.2011.5987946
State	Published - 2011
Event	2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Inner Mongolia, China Duration: 15 Jul 2011 → 17 Jul 2011

Publication series

Name	2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings

Conference

Conference	2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011
Country/Territory	China
City	Inner Mongolia
Period	15/07/11 → 17/07/11

Keywords

Molecular hyperspctral imaging(MHSI)
Radiometric correction
Spectral angle mapper

Access to Document

10.1109/MACE.2011.5987946

Cite this

Liu, H., Guan, Y., Li, Q., Liu, J., & Xue, Y. (2011). Radiometric correction of hyperspectral imaging data in spacial dimension and spectral dimension. In 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings (pp. 4265-4268). Article 5987946 (2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings). https://doi.org/10.1109/MACE.2011.5987946

Liu, Hongying ; Guan, Yana ; Li, Qingli et al. / Radiometric correction of hyperspectral imaging data in spacial dimension and spectral dimension. 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings. 2011. pp. 4265-4268 (2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings).

@inproceedings{0d84294b7e2940179d02987e7d775c81,

title = "Radiometric correction of hyperspectral imaging data in spacial dimension and spectral dimension",

abstract = "Because sample are affected by light, lens and sensor in optical channel in hyperspectral imaging system, image quality and spectrums are also affected. The paper proposes the gray correction coefficient algorithm with spatial dimension and spectral dimension to preprocess molecular hyperspectral imaging data. The experimental results show that the algorithm can carry out radiometric correction in spatial dimension and spectral dimension and eliminate the effects of light, lens and sensor. Image quality is significantly improved. The spectrum curves indicating true biochemical characteristics of the sample are extracted that classification results based on spectral information are better than uncorrected sample.",

keywords = "Molecular hyperspctral imaging(MHSI), Radiometric correction, Spectral angle mapper",

author = "Hongying Liu and Yana Guan and Qingli Li and Jingao Liu and Yongqi Xue",

year = "2011",

doi = "10.1109/MACE.2011.5987946",

language = "英语",

isbn = "9781424494392",

series = "2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings",

pages = "4265--4268",

booktitle = "2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings",

note = "2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 ; Conference date: 15-07-2011 Through 17-07-2011",

}

Liu, H, Guan, Y, Li, Q, Liu, J & Xue, Y 2011, Radiometric correction of hyperspectral imaging data in spacial dimension and spectral dimension. in 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings., 5987946, 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings, pp. 4265-4268, 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, Inner Mongolia, China, 15/07/11. https://doi.org/10.1109/MACE.2011.5987946

Radiometric correction of hyperspectral imaging data in spacial dimension and spectral dimension. / Liu, Hongying; Guan, Yana; Li, Qingli et al.
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings. 2011. p. 4265-4268 5987946 (2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings).

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

TY - GEN

T1 - Radiometric correction of hyperspectral imaging data in spacial dimension and spectral dimension

AU - Liu, Hongying

AU - Guan, Yana

AU - Li, Qingli

AU - Liu, Jingao

AU - Xue, Yongqi

PY - 2011

Y1 - 2011

N2 - Because sample are affected by light, lens and sensor in optical channel in hyperspectral imaging system, image quality and spectrums are also affected. The paper proposes the gray correction coefficient algorithm with spatial dimension and spectral dimension to preprocess molecular hyperspectral imaging data. The experimental results show that the algorithm can carry out radiometric correction in spatial dimension and spectral dimension and eliminate the effects of light, lens and sensor. Image quality is significantly improved. The spectrum curves indicating true biochemical characteristics of the sample are extracted that classification results based on spectral information are better than uncorrected sample.

AB - Because sample are affected by light, lens and sensor in optical channel in hyperspectral imaging system, image quality and spectrums are also affected. The paper proposes the gray correction coefficient algorithm with spatial dimension and spectral dimension to preprocess molecular hyperspectral imaging data. The experimental results show that the algorithm can carry out radiometric correction in spatial dimension and spectral dimension and eliminate the effects of light, lens and sensor. Image quality is significantly improved. The spectrum curves indicating true biochemical characteristics of the sample are extracted that classification results based on spectral information are better than uncorrected sample.

KW - Molecular hyperspctral imaging(MHSI)

KW - Radiometric correction

KW - Spectral angle mapper

UR - https://www.scopus.com/pages/publications/80054819474

U2 - 10.1109/MACE.2011.5987946

DO - 10.1109/MACE.2011.5987946

M3 - 会议稿件

AN - SCOPUS:80054819474

SN - 9781424494392

T3 - 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings

SP - 4265

EP - 4268

BT - 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings

T2 - 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011

Y2 - 15 July 2011 through 17 July 2011

ER -

Liu H, Guan Y, Li Q, Liu J, Xue Y. Radiometric correction of hyperspectral imaging data in spacial dimension and spectral dimension. In 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings. 2011. p. 4265-4268. 5987946. (2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings). doi: 10.1109/MACE.2011.5987946

Radiometric correction of hyperspectral imaging data in spacial dimension and spectral dimension

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