Study on the correction of saturated SAR data

Zhou Mei; Deng Yunkai; Zhang Zhimin

doi:10.1109/IGARSS.2006.820

Study on the correction of saturated SAR data

Zhou Mei^*, Deng Yunkai, Zhang Zhimin

^*Corresponding author for this work

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

Abstract

In this paper, the saturation characteristic of saturated SAR raw data is discussed and a new method based on optimal quantization theory to restore the raw data is proposed. A flow chart shows the procession of the algorithm. Experimental results show that the performances of radar signal processing using the restored data are better than those of traditional means using the raw data.

Original language	English
Title of host publication	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3175-3178
Number of pages	4
ISBN (Print)	0780395107, 9780780395107
DOIs	https://doi.org/10.1109/IGARSS.2006.820
Publication status	Published - 2006
Externally published	Yes
Event	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS - Denver, CO, United States Duration: 31 Jul 2006 → 4 Aug 2006

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Country/Territory	United States
City	Denver, CO
Period	31/07/06 → 4/08/06

Keywords

A/D converter
SAR raw data
Saturated data correction

Access to Document

10.1109/IGARSS.2006.820

Cite this

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title = "Study on the correction of saturated SAR data",

abstract = "In this paper, the saturation characteristic of saturated SAR raw data is discussed and a new method based on optimal quantization theory to restore the raw data is proposed. A flow chart shows the procession of the algorithm. Experimental results show that the performances of radar signal processing using the restored data are better than those of traditional means using the raw data.",

keywords = "A/D converter, SAR raw data, Saturated data correction",

author = "Zhou Mei and Deng Yunkai and Zhang Zhimin",

year = "2006",

doi = "10.1109/IGARSS.2006.820",

language = "English",

isbn = "0780395107",

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

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

pages = "3175--3178",

booktitle = "2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS",

address = "United States",

note = "2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS ; Conference date: 31-07-2006 Through 04-08-2006",

}

Mei, Z, Yunkai, D & Zhimin, Z 2006, Study on the correction of saturated SAR data. in 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS., 4241968, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 3175-3178, 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Denver, CO, United States, 31/07/06. https://doi.org/10.1109/IGARSS.2006.820

Study on the correction of saturated SAR data. / Mei, Zhou; Yunkai, Deng; Zhimin, Zhang.
2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Institute of Electrical and Electronics Engineers Inc., 2006. p. 3175-3178 4241968 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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

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AU - Yunkai, Deng

AU - Zhimin, Zhang

PY - 2006

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AB - In this paper, the saturation characteristic of saturated SAR raw data is discussed and a new method based on optimal quantization theory to restore the raw data is proposed. A flow chart shows the procession of the algorithm. Experimental results show that the performances of radar signal processing using the restored data are better than those of traditional means using the raw data.

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KW - Saturated data correction

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M3 - Conference contribution

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SN - 9780780395107

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

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BT - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS

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T2 - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS

Y2 - 31 July 2006 through 4 August 2006

ER -

Study on the correction of saturated SAR data

Abstract

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Conference

Keywords

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