Super-resolution of polarimetric SAR images based on target decomposition and polarimetric spatial correlation

Zou Bin; Hao Huijun; Guo Xingjie

doi:10.1109/IGARSS.2008.4779143

Super-resolution of polarimetric SAR images based on target decomposition and polarimetric spatial correlation

Zou Bin^*
, Hao Huijun
, Guo Xingjie

^*Corresponding author for this work

School of Electronics and Information Engineering

Harbin Institute of Technology

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

10 Scopus citations

Abstract

Polarimetrie SAR (PolSAR) is becoming more and more popular in remote sensing research area. Super-resolution processing of PolSAR image is usually desired for PolSAR image applications, such as image interpretation and target detection. Usually in a PolSAR image, each resolution contains several different scattering mechanisms. If these mechanisms can be allocated to different parts in one resolution cell, the details of the images can be enhanced, which means the resolution of the images is improved. In this paper, a new super-resolution algorithm for PolSAR image processing is proposed, in which target decomposition and Polarimetrie spatial correlation are both taken into consideration. Results of ESAR L-band full polarized images have validated the effectiveness of the proposed method.

Original language	English
Title of host publication	2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Pages	II911-II914
Edition	1
DOIs	https://doi.org/10.1109/IGARSS.2008.4779143
State	Published - 2008
Event	2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, United States Duration: 6 Jul 2008 → 11 Jul 2008

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Number	1
Volume	2

Conference

Conference	2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Country/Territory	United States
City	Boston, MA
Period	6/07/08 → 11/07/08

Keywords

Polarimetrie SAR (PolSAR)
Spatial correlation
Superresolution
Target decomposition

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10.1109/IGARSS.2008.4779143

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Bin, Z., Huijun, H., & Xingjie, G. (2008). Super-resolution of polarimetric SAR images based on target decomposition and polarimetric spatial correlation. In 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings (1 ed., pp. II911-II914). Article 4779143 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2, No. 1). https://doi.org/10.1109/IGARSS.2008.4779143

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title = "Super-resolution of polarimetric SAR images based on target decomposition and polarimetric spatial correlation",

abstract = "Polarimetrie SAR (PolSAR) is becoming more and more popular in remote sensing research area. Super-resolution processing of PolSAR image is usually desired for PolSAR image applications, such as image interpretation and target detection. Usually in a PolSAR image, each resolution contains several different scattering mechanisms. If these mechanisms can be allocated to different parts in one resolution cell, the details of the images can be enhanced, which means the resolution of the images is improved. In this paper, a new super-resolution algorithm for PolSAR image processing is proposed, in which target decomposition and Polarimetrie spatial correlation are both taken into consideration. Results of ESAR L-band full polarized images have validated the effectiveness of the proposed method.",

keywords = "Polarimetrie SAR (PolSAR), Spatial correlation, Superresolution, Target decomposition",

author = "Zou Bin and Hao Huijun and Guo Xingjie",

year = "2008",

doi = "10.1109/IGARSS.2008.4779143",

language = "英语",

isbn = "9781424428083",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

number = "1",

pages = "II911--II914",

booktitle = "2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings",

edition = "1",

note = "2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings ; Conference date: 06-07-2008 Through 11-07-2008",

}

Bin, Z, Huijun, H & Xingjie, G 2008, Super-resolution of polarimetric SAR images based on target decomposition and polarimetric spatial correlation. in 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings. 1 edn, 4779143, International Geoscience and Remote Sensing Symposium (IGARSS), no. 1, vol. 2, pp. II911-II914, 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings, Boston, MA, United States, 6/07/08. https://doi.org/10.1109/IGARSS.2008.4779143

Super-resolution of polarimetric SAR images based on target decomposition and polarimetric spatial correlation. / Bin, Zou; Huijun, Hao; Xingjie, Guo.
2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings. 1. ed. 2008. p. II911-II914 4779143 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2, No. 1).

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

TY - GEN

T1 - Super-resolution of polarimetric SAR images based on target decomposition and polarimetric spatial correlation

AU - Bin, Zou

AU - Huijun, Hao

AU - Xingjie, Guo

PY - 2008

Y1 - 2008

N2 - Polarimetrie SAR (PolSAR) is becoming more and more popular in remote sensing research area. Super-resolution processing of PolSAR image is usually desired for PolSAR image applications, such as image interpretation and target detection. Usually in a PolSAR image, each resolution contains several different scattering mechanisms. If these mechanisms can be allocated to different parts in one resolution cell, the details of the images can be enhanced, which means the resolution of the images is improved. In this paper, a new super-resolution algorithm for PolSAR image processing is proposed, in which target decomposition and Polarimetrie spatial correlation are both taken into consideration. Results of ESAR L-band full polarized images have validated the effectiveness of the proposed method.

AB - Polarimetrie SAR (PolSAR) is becoming more and more popular in remote sensing research area. Super-resolution processing of PolSAR image is usually desired for PolSAR image applications, such as image interpretation and target detection. Usually in a PolSAR image, each resolution contains several different scattering mechanisms. If these mechanisms can be allocated to different parts in one resolution cell, the details of the images can be enhanced, which means the resolution of the images is improved. In this paper, a new super-resolution algorithm for PolSAR image processing is proposed, in which target decomposition and Polarimetrie spatial correlation are both taken into consideration. Results of ESAR L-band full polarized images have validated the effectiveness of the proposed method.

KW - Polarimetrie SAR (PolSAR)

KW - Spatial correlation

KW - Superresolution

KW - Target decomposition

UR - https://www.scopus.com/pages/publications/66549093141

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M3 - 会议稿件

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SN - 9781424428083

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - II911-II914

BT - 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings

T2 - 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings

Y2 - 6 July 2008 through 11 July 2008

ER -

Super-resolution of polarimetric SAR images based on target decomposition and polarimetric spatial correlation

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