Name
Abstract | ||
|---|---|---|
The construction of inter-visibility models for a terrain is an important tool for environmental and animal studies. Efficient crisp algorithms are known to address this problem directly on a raster digital elevation map (DEM) of the study area. Randomness plays an important role: several factors like vegetation, height of the observer, presence of unmapped human artifacts, etc. cannot be modeled in advance into a traditional DEM model. We propose the use of fuzzy terrain models to incorporate uncertainty and unpredictable variability of the landscape. Accordingly, we propose a suitable definition of visibility to obtain intervisibility models. An algorithm that uses approximation of fuzzy numbers with a discrete family of intervals is proposed.The proposed model produces sound results and can be extended to model complex situations like triangulating a radio source using two directional receivers. All of these situations are difficult to manage with a precise stochastic model and are a frequent occurrence in animal behavior studies under field conditions. The proposed techniques have been implemented inside a user-friendly software package that may easily exchange data with the most common GISs. We report also some experimental results obtained using over artificial terrain under controlled noise and under-sampling conditions. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1016/S0165-0114(02)00250-6 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
visibility maps creation,fuzzy approach,traditional dem model,triangulation,fuzzy terrain model,visibility maps,inter-visibility model,animal study,fuzzy digital elevation maps,radio tracking,proposed technique,precise stochastic model,digital elevation map,artificial terrain,intervisibility model,gis,digital terrains,animal behavior study,stochastic model,animal studies,fuzzy number | Visibility,Raster graphics,Terrain,Fuzzy logic,Fuzzy set,Artificial intelligence,Stochastic modelling,Fuzzy number,Mathematics,Machine learning,Randomness | Journal |
Volume | Issue | ISSN |
135 | 1 | Fuzzy Sets and Systems |
Citations | PageRank | References |
6 | 0.77 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcello A. Anile | 1 | 7 | 1.86 |
| Primo Furno | 2 | 6 | 0.77 |
| Giovanni Gallo | 3 | 17 | 2.76 |
| Alessandro Massolo | 4 | 6 | 0.77 |