| Full text | |
| Author(s): |
Ghamisi, Pedram
;
Souza, Roberto
;
Rittner, Leticia
;
Benediktsson, Jon A.
;
Lotufo, Roberto
;
Zhu, Xiao X.
;
IEEE
Total Authors: 7
|
| Document type: | Journal article |
| Source: | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS); v. N/A, p. 4-pg., 2016-01-01. |
| Abstract | |
This paper presents a novel approach named extinction profiles to model the spatial information of remote sensing images. Then, the output of the extinction profile is fed to a grid-search random forest classification method. Results indicate that the proposed approach can effectively extract spatial information from remote sensing gray scale images and provide high classification accuracies in an automatic way. (AU) | |
| FAPESP's process: | 15/12127-0 - Max-trees applied to medical images segmentation |
| Grantee: | Roberto Medeiros de Souza |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate |
| FAPESP's process: | 13/23514-0 - Max-Tree: theory, algorithms and applications |
| Grantee: | Roberto Medeiros de Souza |
| Support Opportunities: | Scholarships in Brazil - Doctorate |