Gao Bischof 2009a - Revision history

Scipediacontent at 12:39, 21 January 2021

2021-01-21T12:39:47Z

Scipediacontent: Scipediacontent moved page Draft Content 745923210 to Gao Bischof 2009a

2020-10-14T14:07:26Z

Scipediacontent moved page Draft Content 745923210 to Gao Bischof 2009a

Scipediacontent: Created page with " == Abstract == Over the past decades, considerable progress had been made in developing automatic image interpretation tools for remote sensing. There is, however, still a g..."

2020-10-14T14:07:23Z

Created page with " == Abstract == Over the past decades, considerable progress had been made in developing automatic image interpretation tools for remote sensing. There is, however, still a g..."

New page

== Abstract ==

Over the past decades, considerable progress had been made in developing automatic image interpretation tools for remote sensing. There is, however, still a gap between the requirements of applications and system capabilities. Interpretation of noisy aerial images, especially in low resolution, is still difficult. We present a system aimed at detecting faint linear structures, such as pipelines and access roads, in aerial images. We introduce an orientation-weighted Hough transform for the detection of line segments and a Markov Random Field model for combining line segments into linear structures. Empirical results show that the proposed method yields good detection performance.

Document type: Part of book or chapter of book

== Full document ==
<pdf>Media:Draft_Content_745923210-beopen939-3903-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://www.cs.ualberta.ca/~wfb/publications/C-2009-ICIAR.pdf http://www.cs.ualberta.ca/~wfb/publications/C-2009-ICIAR.pdf]

← Older revision		Revision as of 12:39, 21 January 2021
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	Over the past decades, considerable progress had been made in developing automatic image interpretation tools for remote sensing. There is, however, still a gap between the requirements of applications and system capabilities. Interpretation of noisy aerial images, especially in low resolution, is still difficult. We present a system aimed at detecting faint linear structures, such as pipelines and access roads, in aerial images. We introduce an orientation-weighted Hough transform for the detection of line segments and a Markov Random Field model for combining line segments into linear structures. Empirical results show that the proposed method yields good detection performance.		Over the past decades, considerable progress had been made in developing automatic image interpretation tools for remote sensing. There is, however, still a gap between the requirements of applications and system capabilities. Interpretation of noisy aerial images, especially in low resolution, is still difficult. We present a system aimed at detecting faint linear structures, such as pipelines and access roads, in aerial images. We introduce an orientation-weighted Hough transform for the detection of line segments and a Markov Random Field model for combining line segments into linear structures. Empirical results show that the proposed method yields good detection performance.
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−	~~Document type: Part of book or chapter of book~~
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−	~~== Full document ==~~
−	~~<pdf>Media:Draft_Content_745923210-beopen939-3903-document.pdf</pdf>~~


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	* [http://www.cs.ualberta.ca/~wfb/publications/C-2009-ICIAR.pdf http://www.cs.ualberta.ca/~wfb/publications/C-2009-ICIAR.pdf]		* [http://www.cs.ualberta.ca/~wfb/publications/C-2009-ICIAR.pdf http://www.cs.ualberta.ca/~wfb/publications/C-2009-ICIAR.pdf]
		+
		+	* [http://link.springer.com/content/pdf/10.1007/978-3-642-02611-9_88 http://link.springer.com/content/pdf/10.1007/978-3-642-02611-9_88],
		+	: [http://dx.doi.org/10.1007/978-3-642-02611-9_88 http://dx.doi.org/10.1007/978-3-642-02611-9_88] under the license http://www.springer.com/tdm
		+
		+	* [https://webdocs.cs.ualberta.ca/~wfb/ammi/publications/C-2009-ICIAR.pdf https://webdocs.cs.ualberta.ca/~wfb/ammi/publications/C-2009-ICIAR.pdf],
		+	: [http://core.ac.uk/display/21201695 http://core.ac.uk/display/21201695],
		+	: [https://dblp.uni-trier.de/db/conf/iciar/iciar2009.html#GaoB09 https://dblp.uni-trier.de/db/conf/iciar/iciar2009.html#GaoB09],
		+	: [https://link.springer.com/chapter/10.1007/978-3-642-02611-9_88 https://link.springer.com/chapter/10.1007/978-3-642-02611-9_88],
		+	: [https://www.scipedia.com/public/Gao_Bischof_2009a https://www.scipedia.com/public/Gao_Bischof_2009a],
		+	: [https://doi.org/10.1007/978-3-642-02611-9_88 https://doi.org/10.1007/978-3-642-02611-9_88],
		+	: [https://dl.acm.org/citation.cfm?id=1577691 https://dl.acm.org/citation.cfm?id=1577691],
		+	: [https://rd.springer.com/chapter/10.1007/978-3-642-02611-9_88 https://rd.springer.com/chapter/10.1007/978-3-642-02611-9_88],
		+	: [https://academic.microsoft.com/#/detail/1552864862 https://academic.microsoft.com/#/detail/1552864862]

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