Hail damage survey from aerial imagery

David Tien; Tarashankar Rudra

Hail damage survey from aerial imagery

David Tien^*, Tarashankar Rudra

^*Corresponding author for this work

Department of Computing

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

Abstract

In this paper, we extend the tools we have developed through our extensive research for assisting Australia's councils, State Emergency Service (SES) and environmentalists to discharge their duties with greater accuracy and swiftness by locating and marking the region of interest (ROI) within a remotely sensed digital imagery. This paper proposes a novel technique to identify the roofs of buildings damaged by hailstorms through aerial survey.

Original language	English
Title of host publication	RPC 2010 - 1st Russia and Pacific Conference on Computer Technology and Applications
Pages	440-442
Number of pages	3
Publication status	Published - 2010
Event	1st Russia and Pacific Conference on Computer Technology and Applications, RPC 2010 - Vladivostok, Russian Federation Duration: 6 Sep 2010 → 9 Sep 2010

Other

Other	1st Russia and Pacific Conference on Computer Technology and Applications, RPC 2010
Country	Russian Federation
City	Vladivostok
Period	6/09/10 → 9/09/10

Keywords

Image processing
Remote sensing
Roof detection

Access to Document

Link to publication in Scopus

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Cite this

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title = "Hail damage survey from aerial imagery",

abstract = "In this paper, we extend the tools we have developed through our extensive research for assisting Australia's councils, State Emergency Service (SES) and environmentalists to discharge their duties with greater accuracy and swiftness by locating and marking the region of interest (ROI) within a remotely sensed digital imagery. This paper proposes a novel technique to identify the roofs of buildings damaged by hailstorms through aerial survey.",

keywords = "Image processing, Remote sensing, Roof detection",

author = "David Tien and Tarashankar Rudra",

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AU - Rudra, Tarashankar

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AB - In this paper, we extend the tools we have developed through our extensive research for assisting Australia's councils, State Emergency Service (SES) and environmentalists to discharge their duties with greater accuracy and swiftness by locating and marking the region of interest (ROI) within a remotely sensed digital imagery. This paper proposes a novel technique to identify the roofs of buildings damaged by hailstorms through aerial survey.

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KW - Remote sensing

KW - Roof detection

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M3 - Conference proceeding contribution

SP - 440

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BT - RPC 2010 - 1st Russia and Pacific Conference on Computer Technology and Applications

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