Extended extinction profile for the classification of hyperspectral images
- Resource Type
- Conference
- Authors
- Ghamisi, Pedram; Souza, Roberto; Benediktsson, Jon A.; Zhu, Xiao Xiang; Rittner, Leticia; Lotufo, Roberto
- Source
- 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016 8th Workshop on. :1-4 Aug, 2016
- Subject
- Aerospace
Computing and Processing
Geoscience
Signal Processing and Analysis
Hyperspectral imaging
Support vector machines
Integrated circuits
Data mining
Feature extraction
Extinction Profile
hyperspectral Image
Classification
Support Vector Machine
- Language
- ISSN
- 2158-6276
In this paper, a novel approach is proposed for the spectral-spatial 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.