| Author(s): |
Ghamisi, Pedram
;
Souza, Roberto
;
Benediktsson, Jon A.
;
Zhu, Xiao Xiang
;
Rittner, Leticia
;
Lotufo, Roberto
;
IEEE
Total Authors: 7
|
| Document type: | Journal article |
| Source: | 2016 8TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS); v. N/A, p. 4-pg., 2016-01-01. |
| Abstract | |
In this paper, a novel approach is proposed for the spectralspatial classification of hyperspectral images. The proposed classification approach is based on a novel filtering technique, here entitled as extended extinction profile (EEP). The proposed classification approach is applied on two well-known data sets: Pavia University and Indian Pines; and the obtained results have been compared with one of the strongest filtering approaches in the literature named extended attribute profile (EAP). Results confirm that the proposed approach is able to efficiently extract spatial information for the classification of hyperspectral images. (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 |