- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
HIGH RESOLUTION IMAGE CLASSIFICATION | ||
| IRAQI JOURNAL OF STATISTICAL SCIENCES | ||
| Article 3, Volume 5, Issue 1, 2005, Pages 15-21 PDF (0 K) | ||
| DOI: 10.33899/stats.2005.032857 | ||
| Author | ||
| Wasfi Taher Saalih | ||
| Abstract | ||
| Classification is an important field with many applications. In particular, the classification of digital imagery has important applications in the mapping community. In this paper the comparison of three different classification methods on LANDSAT imagery of Erbil City - IRAQ: neural networks, nearest-neighbor, and discriminant analysis are made. Out of the three approaches, k-nearest neighbors performed the best; next in accuracy was neural networks, and then discriminant analysis. | ||
|
Statistics Article View: 403 PDF Download: 415 |
||