Change detection for the urban area based on multiple sensor information fusion

Junping Zhang; Xiaofei Wang; Tao Chen; Ye Zhang

doi:10.1109/IGARSS.2005.1526148

Change detection for the urban area based on multiple sensor information fusion

Junping Zhang^*
, Xiaofei Wang
, Tao Chen
, Ye Zhang

^*Corresponding author for this work

School of Electronics and Information Engineering

Harbin Institute of Technology
Heilongjiang University

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

3 Scopus citations

Abstract

In this paper, change detection for urban area based on multiple sensor information fusion is studied. The images acquired at different times are used to identify the differences during the process of city construction and reconstruction. The proposed method in this paper consists of three steps: image pre-processing and registration, information fusion for multiple sensor images and image change detection. Wavelet packet transform is used in the fusion stage. More detailed features can be extracted by high frequency components as well as low frequency components decomposition. The experiments are carried on optical and SAR images taken at different periods. The results show that the method based on multi-source information fusion can effectively detect changed regions.

Original language	English
Title of host publication	25th Anniversary IGARSS 2005
Subtitle of host publication	IEEE International Geoscience and Remote Sensing Symposium
Pages	226-229
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2005.1526148
State	Published - 2005
Event	2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 - Seoul, Korea, Republic of Duration: 25 Jul 2005 → 29 Jul 2005

Publication series

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

Conference

Conference	2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
Country/Territory	Korea, Republic of
City	Seoul
Period	25/07/05 → 29/07/05

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10.1109/IGARSS.2005.1526148

Cite this

Zhang, J., Wang, X., Chen, T., & Zhang, Y. (2005). Change detection for the urban area based on multiple sensor information fusion. In 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium (pp. 226-229). Article 1526148 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 1). https://doi.org/10.1109/IGARSS.2005.1526148

@inproceedings{63893949e3964d39889a9c23c54b16b2,

title = "Change detection for the urban area based on multiple sensor information fusion",

abstract = "In this paper, change detection for urban area based on multiple sensor information fusion is studied. The images acquired at different times are used to identify the differences during the process of city construction and reconstruction. The proposed method in this paper consists of three steps: image pre-processing and registration, information fusion for multiple sensor images and image change detection. Wavelet packet transform is used in the fusion stage. More detailed features can be extracted by high frequency components as well as low frequency components decomposition. The experiments are carried on optical and SAR images taken at different periods. The results show that the method based on multi-source information fusion can effectively detect changed regions.",

author = "Junping Zhang and Xiaofei Wang and Tao Chen and Ye Zhang",

year = "2005",

doi = "10.1109/IGARSS.2005.1526148",

language = "英语",

isbn = "0780390504",

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

pages = "226--229",

booktitle = "25th Anniversary IGARSS 2005",

note = "2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 ; Conference date: 25-07-2005 Through 29-07-2005",

}

Zhang, J, Wang, X, Chen, T & Zhang, Y 2005, Change detection for the urban area based on multiple sensor information fusion. in 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium., 1526148, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 1, pp. 226-229, 2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005, Seoul, Korea, Republic of, 25/07/05. https://doi.org/10.1109/IGARSS.2005.1526148

Change detection for the urban area based on multiple sensor information fusion. / Zhang, Junping; Wang, Xiaofei; Chen, Tao et al.
25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium. 2005. p. 226-229 1526148 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 1).

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

TY - GEN

T1 - Change detection for the urban area based on multiple sensor information fusion

AU - Zhang, Junping

AU - Wang, Xiaofei

AU - Chen, Tao

AU - Zhang, Ye

PY - 2005

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N2 - In this paper, change detection for urban area based on multiple sensor information fusion is studied. The images acquired at different times are used to identify the differences during the process of city construction and reconstruction. The proposed method in this paper consists of three steps: image pre-processing and registration, information fusion for multiple sensor images and image change detection. Wavelet packet transform is used in the fusion stage. More detailed features can be extracted by high frequency components as well as low frequency components decomposition. The experiments are carried on optical and SAR images taken at different periods. The results show that the method based on multi-source information fusion can effectively detect changed regions.

AB - In this paper, change detection for urban area based on multiple sensor information fusion is studied. The images acquired at different times are used to identify the differences during the process of city construction and reconstruction. The proposed method in this paper consists of three steps: image pre-processing and registration, information fusion for multiple sensor images and image change detection. Wavelet packet transform is used in the fusion stage. More detailed features can be extracted by high frequency components as well as low frequency components decomposition. The experiments are carried on optical and SAR images taken at different periods. The results show that the method based on multi-source information fusion can effectively detect changed regions.

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DO - 10.1109/IGARSS.2005.1526148

M3 - 会议稿件

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SN - 0780390504

SN - 9780780390508

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 226

EP - 229

BT - 25th Anniversary IGARSS 2005

T2 - 2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005

Y2 - 25 July 2005 through 29 July 2005

ER -

Change detection for the urban area based on multiple sensor information fusion

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