Building detection in intricate environment based on interference suppression with digital surface model and optical image

Yiming Yan; Hao Chen; Fengjiao Gao; Ye Zhang

doi:10.1109/IGARSS.2012.6352313

Building detection in intricate environment based on interference suppression with digital surface model and optical image

Yiming Yan^*
, Hao Chen
, Fengjiao Gao
, Ye Zhang

^*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

1 Scopus citations

Abstract

In this paper, a remote sensing building detection method is proposed, based on knowledge of environment. Digital surface model (DSM) and optical image are utilized for analyzing intricate environment of urban area. Partitioned terrain adjustment (PTA) method is proposed for alleviating terrain interference. Furthermore, vegetation interference is suppressed by optical image based reconfirming. Experiments results indicate that high accuracy detection could be obtained by our method.

Original language	English
Title of host publication	IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5717-5720
Number of pages	4
ISBN (Electronic)	9781467311595
DOIs	https://doi.org/10.1109/IGARSS.2012.6352313
State	Published - 2012
Event	32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/Territory	Germany
City	Munich
Period	22/07/12 → 27/07/12

Keywords

building detection
digital surface model
environment interference suppression
Urban remote sensing

Access to Document

10.1109/IGARSS.2012.6352313

Cite this

Yan, Y., Chen, H., Gao, F., & Zhang, Y. (2012). Building detection in intricate environment based on interference suppression with digital surface model and optical image. In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium (pp. 5717-5720). Article 6352313 (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2012.6352313

Yan, Yiming ; Chen, Hao ; Gao, Fengjiao et al. / Building detection in intricate environment based on interference suppression with digital surface model and optical image. IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc., 2012. pp. 5717-5720 (International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{d1c9ee3b441842378f30630f00fe6fa8,

title = "Building detection in intricate environment based on interference suppression with digital surface model and optical image",

abstract = "In this paper, a remote sensing building detection method is proposed, based on knowledge of environment. Digital surface model (DSM) and optical image are utilized for analyzing intricate environment of urban area. Partitioned terrain adjustment (PTA) method is proposed for alleviating terrain interference. Furthermore, vegetation interference is suppressed by optical image based reconfirming. Experiments results indicate that high accuracy detection could be obtained by our method.",

keywords = "building detection, digital surface model, environment interference suppression, Urban remote sensing",

author = "Yiming Yan and Hao Chen and Fengjiao Gao and Ye Zhang",

year = "2012",

doi = "10.1109/IGARSS.2012.6352313",

language = "英语",

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

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

pages = "5717--5720",

booktitle = "IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium",

address = "美国",

note = "32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",

}

Yan, Y, Chen, H, Gao, F & Zhang, Y 2012, Building detection in intricate environment based on interference suppression with digital surface model and optical image. in IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium., 6352313, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 5717-5720, 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012, Munich, Germany, 22/07/12. https://doi.org/10.1109/IGARSS.2012.6352313

Building detection in intricate environment based on interference suppression with digital surface model and optical image. / Yan, Yiming; Chen, Hao; Gao, Fengjiao et al.
IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc., 2012. p. 5717-5720 6352313 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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

TY - GEN

T1 - Building detection in intricate environment based on interference suppression with digital surface model and optical image

AU - Yan, Yiming

AU - Chen, Hao

AU - Gao, Fengjiao

AU - Zhang, Ye

PY - 2012

Y1 - 2012

N2 - In this paper, a remote sensing building detection method is proposed, based on knowledge of environment. Digital surface model (DSM) and optical image are utilized for analyzing intricate environment of urban area. Partitioned terrain adjustment (PTA) method is proposed for alleviating terrain interference. Furthermore, vegetation interference is suppressed by optical image based reconfirming. Experiments results indicate that high accuracy detection could be obtained by our method.

AB - In this paper, a remote sensing building detection method is proposed, based on knowledge of environment. Digital surface model (DSM) and optical image are utilized for analyzing intricate environment of urban area. Partitioned terrain adjustment (PTA) method is proposed for alleviating terrain interference. Furthermore, vegetation interference is suppressed by optical image based reconfirming. Experiments results indicate that high accuracy detection could be obtained by our method.

KW - building detection

KW - digital surface model

KW - environment interference suppression

KW - Urban remote sensing

UR - https://www.scopus.com/pages/publications/84873154787

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DO - 10.1109/IGARSS.2012.6352313

M3 - 会议稿件

AN - SCOPUS:84873154787

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 5717

EP - 5720

BT - IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012

Y2 - 22 July 2012 through 27 July 2012

ER -

Yan Y, Chen H, Gao F, Zhang Y. Building detection in intricate environment based on interference suppression with digital surface model and optical image. In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc. 2012. p. 5717-5720. 6352313. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2012.6352313

Building detection in intricate environment based on interference suppression with digital surface model and optical image

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Keywords

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