Abstract
Aerial images are available in recent days. They are useful to observe the aging of the city. However, it's difficult to extract the significant spatial information from them. Many features in the city make it difficult to analyze spatial information by visual observation. In this paper, we propose two methods. One is a method to detect roof domains from aerial images using Multi-Level Slice classification. The other is a method which detects city geographical feature change automatically. In this paper, we run an experiment to verify the accuracy of our method and show the results.
| Original language | English |
|---|---|
| Pages (from-to) | 25-29 |
| Number of pages | 5 |
| Journal | Journal of the Institute of Image Electronics Engineers of Japan |
| Volume | 42 |
| Issue number | 1 |
| Publication status | Published - 2013 |
Keywords
- Aerial Image
- Building detection
- Change detection
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Electrical and Electronic Engineering
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Cite this
Nakamura, S., & Aoki, Y. (2013). Building detection and change detection using aerial images. Journal of the Institute of Image Electronics Engineers of Japan, 42(1), 25-29.