Name
Title | ||
|---|---|---|
Approach of texture signature determination — Application to forest cover classification of high resolution satellite image |
Abstract | ||
|---|---|---|
This paper presents an approach of textural signature identification for the classification of high resolution satellite image of forest. We are looking for the most appropriate combination of features from texture measures. This combination which forms our signature should allow the discrimination between different types of textures present in the image that will be classified. We improve our signature by a step of weighting features. The weight of each feature reflects its degree of confidence. We finish with an experimental step which is an application of our combined weighted signature for the purposes of classification of high resolution satellite image of forest. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/SOCPAR.2014.7008027 | Soft Computing and Pattern Recognition |
Keywords | Field | DocType |
forestry,image classification,image resolution,image texture,forest cover classification,high resolution satellite image,high resolution satellite image classification,textural signature identification,weighted signature,classification,high resolution satellite image,multifractal,sum and difference histogram,texture signature | Histogram,Computer vision,Weighting,Satellite,Forest cover,Pattern recognition,Image texture,Computer science,Fractal,Feature extraction,Artificial intelligence,Satellite image | Conference |
Citations | PageRank | References |
1 | 0.38 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wala Zaaboub | 1 | 1 | 0.38 |
| Zouhour Ben Dhiaf | 2 | 1 | 1.39 |
| Ben Dhiaf, Z. | 3 | 1 | 0.38 |