Learning from Data: Concepts, Theory, and Methods
Learning from Data: Concepts, Theory, and Methods
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Multiple order gradient feature for macro-invertebrate identification using support vector machines
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
| Hi-index | 0.00 |
The aim of this paper is the identification of shades in urban areas for remote sensing images. The final goal consists in the risk minimization for image change detection algorithms. Correct shade identification help us to discard urban shades as urban changes. The main contribution of the paper is to focus the problem as a classification problem using the well founded Support Vector Machines theory. A comparative analysis is carried out against other classical existing classification methods where the performance of the proposed approach is verified.