| Full text | |
| Author(s): |
Osaku, D.
;
Levada, A. L. M.
;
Papa, J. P.
;
BayroCorrochano, E
;
Hancock, E
Total Authors: 5
|
| Document type: | Journal article |
| Source: | PROGRESS IN PATTERN RECOGNITION IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2014; v. 8827, p. 8-pg., 2014-01-01. |
| Abstract | |
Contextual classification considers the information about a sample's neighborhood to improve standard pixel-based classification approaches. In this work, we evaluated four different Markovian models for Optimum-Path Forest contextual classification considering land use recognition in remote sensing data. Some insights about the situations in which each of them should be applied are stated, as well as the idea behind them is explained. (AU) | |
| FAPESP's process: | 13/20387-7 - Hyperparameter optimization in deep learning arquitectures |
| Grantee: | João Paulo Papa |
| Support Opportunities: | Scholarships abroad - Research |