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 |
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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 |
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Country/Territory | Russian Federation |
City | Vladivostok |
Period | 6/09/10 → 9/09/10 |
Keywords
- Image processing
- Remote sensing
- Roof detection