Detecting Forest Damage in Cir Aerial Photographs Using a Neural Network
| Autor: | Damir Klobučar, Renata Pernar, Sven Lončarić, Marko Subašić, Ante Seletković, Mario Ančić |
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| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: | |
| Zdroj: | Croatian Journal of Forest Engineering, Vol 31, Iss 2, Pp 157-163 (2010) |
| Druh dokumentu: | article |
| ISSN: | 1845-5719 1848-9672 11444843 |
| Popis: | Forest dieback is taking on increasing proportions in many parts of Croatia. To improve the situation, it is of primary importance to acquire timely, accurate and inexpensive information on the scale of forest damage. Such information can be collected for large forest areas with remote sensing techniques. This paper explores the possibility of applying segmentations of color infrared aerial photographs (CIR). Self-organizing artificial neural networks are used to detect damage in beech-fir forests and determine its spatial distribution. The results of the research confirm the benefits of applying neural networks to forest damage detection, since there are no statistically significant differences between damage in the field and damage detected with a neural network. |
| Databáze: | Directory of Open Access Journals |
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