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

School of Computing

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

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 Sept 2010 → 9 Sept 2010

Other

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

Keywords

Image processing
Remote sensing
Roof detection

Cite this

@inproceedings{95c4cb4a990348159c0ce1c66c6a2d60,

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",

year = "2010",

language = "English",

pages = "440--442",

booktitle = "RPC 2010 - 1st Russia and Pacific Conference on Computer Technology and Applications",

note = "1st Russia and Pacific Conference on Computer Technology and Applications, RPC 2010 ; Conference date: 06-09-2010 Through 09-09-2010",

}

TY - GEN

T1 - Hail damage survey from aerial imagery

AU - Tien, David

AU - Rudra, Tarashankar

PY - 2010

Y1 - 2010

N2 - 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.

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.

KW - Image processing

KW - Remote sensing

KW - Roof detection

UR - http://www.scopus.com/inward/record.url?scp=79959808003&partnerID=8YFLogxK

M3 - Conference proceeding contribution

AN - SCOPUS:79959808003

SP - 440

EP - 442

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

T2 - 1st Russia and Pacific Conference on Computer Technology and Applications, RPC 2010

Y2 - 6 September 2010 through 9 September 2010

ER -

Hail damage survey from aerial imagery

Abstract

Other

Keywords

Other files and links

Fingerprint

Cite this