A rapid compression technology for remote sensing image based on different ground scenes

Shuang Zhou; Hao Chen; Yu Tao; Ye Zhang; Meng Zhang

doi:10.1109/IGARSS.2013.6723343

A rapid compression technology for remote sensing image based on different ground scenes

Shuang Zhou
, Hao Chen
, Yu Tao
, Ye Zhang
, Meng Zhang

School of Electronics and Information Engineering

Harbin Institute of Technology

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

1 Scopus citations

Abstract

In this paper, a rapid compression technology for remote sensing image based on different ground scenes is proposed. According to the different textures and the corresponding information contained different ground types, compression parameter is set for JPEG2000, firstly. And then considering the weight of the information amount of the image, the proportion of the information amount of the image and the proportion of the weight of the image, the bit rate of the image are allocated and the compression of the image is realized. Finally, an algorithm based on the same pass truncation is proposed. Experimental results demonstrate the proposed method speeds up the compression algorithm with little loss of reconstruction quality.

Original language	English
Title of host publication	2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
Pages	2555-2557
Number of pages	3
DOIs	https://doi.org/10.1109/IGARSS.2013.6723343
State	Published - 2013
Event	2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia Duration: 21 Jul 2013 → 26 Jul 2013

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
Country/Territory	Australia
City	Melbourne, VIC
Period	21/07/13 → 26/07/13

Keywords

Compression
JPEG2000
Remote sensing image
The same pass truncation

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10.1109/IGARSS.2013.6723343

Cite this

Zhou, S., Chen, H., Tao, Y., Zhang, Y., & Zhang, M. (2013). A rapid compression technology for remote sensing image based on different ground scenes. In 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings (pp. 2555-2557). Article 6723343 (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2013.6723343

@inproceedings{0dd47bca88b54f1fa45b643bfdb45c23,

title = "A rapid compression technology for remote sensing image based on different ground scenes",

abstract = "In this paper, a rapid compression technology for remote sensing image based on different ground scenes is proposed. According to the different textures and the corresponding information contained different ground types, compression parameter is set for JPEG2000, firstly. And then considering the weight of the information amount of the image, the proportion of the information amount of the image and the proportion of the weight of the image, the bit rate of the image are allocated and the compression of the image is realized. Finally, an algorithm based on the same pass truncation is proposed. Experimental results demonstrate the proposed method speeds up the compression algorithm with little loss of reconstruction quality.",

keywords = "Compression, JPEG2000, Remote sensing image, The same pass truncation",

author = "Shuang Zhou and Hao Chen and Yu Tao and Ye Zhang and Meng Zhang",

year = "2013",

doi = "10.1109/IGARSS.2013.6723343",

language = "英语",

isbn = "9781479911141",

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

pages = "2555--2557",

booktitle = "2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings",

note = "2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 ; Conference date: 21-07-2013 Through 26-07-2013",

}

Zhou, S, Chen, H, Tao, Y, Zhang, Y & Zhang, M 2013, A rapid compression technology for remote sensing image based on different ground scenes. in 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings., 6723343, International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2555-2557, 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013, Melbourne, VIC, Australia, 21/07/13. https://doi.org/10.1109/IGARSS.2013.6723343

A rapid compression technology for remote sensing image based on different ground scenes. / Zhou, Shuang; Chen, Hao; Tao, Yu et al.
2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings. 2013. p. 2555-2557 6723343 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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

TY - GEN

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AU - Zhou, Shuang

AU - Chen, Hao

AU - Tao, Yu

AU - Zhang, Ye

AU - Zhang, Meng

PY - 2013

Y1 - 2013

N2 - In this paper, a rapid compression technology for remote sensing image based on different ground scenes is proposed. According to the different textures and the corresponding information contained different ground types, compression parameter is set for JPEG2000, firstly. And then considering the weight of the information amount of the image, the proportion of the information amount of the image and the proportion of the weight of the image, the bit rate of the image are allocated and the compression of the image is realized. Finally, an algorithm based on the same pass truncation is proposed. Experimental results demonstrate the proposed method speeds up the compression algorithm with little loss of reconstruction quality.

AB - In this paper, a rapid compression technology for remote sensing image based on different ground scenes is proposed. According to the different textures and the corresponding information contained different ground types, compression parameter is set for JPEG2000, firstly. And then considering the weight of the information amount of the image, the proportion of the information amount of the image and the proportion of the weight of the image, the bit rate of the image are allocated and the compression of the image is realized. Finally, an algorithm based on the same pass truncation is proposed. Experimental results demonstrate the proposed method speeds up the compression algorithm with little loss of reconstruction quality.

KW - Compression

KW - JPEG2000

KW - Remote sensing image

KW - The same pass truncation

UR - https://www.scopus.com/pages/publications/84894243571

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DO - 10.1109/IGARSS.2013.6723343

M3 - 会议稿件

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SN - 9781479911141

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

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EP - 2557

BT - 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings

T2 - 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013

Y2 - 21 July 2013 through 26 July 2013

ER -

A rapid compression technology for remote sensing image based on different ground scenes

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