Classification of hyperspectral data using extended attribute profiles based on supervised and unsupervised feature extraction techniques
- 10 July 2012
- journal article
- research article
- Published by Informa UK Limited in International Journal of Image and Data Fusion
- Vol. 3 (3), 269-298
- https://doi.org/10.1080/19479832.2012.702687
Abstract
The classification of remote sensing data based on the exploitation of spatial features extracted with morphological and attribute profiles has been recently gaining importance. With the development of efficient algorithms to construct the profiles for large datasets, such methods are becoming even more relevant. When dealing with hyperspectral imagery, the profiles are traditionally built on the first few principal components computed from the data. However, it needs to be determined if other feature reduction approaches are better suited to create base images for the profiles. In this article, we explore the use of profiles based on features derived from three supervised feature extraction techniques (i.e. Discriminant Analysis Feature Extraction, Decision Boundary Feature Extraction and Non-parametric Weighted Feature Extraction) and two unsupervised feature-extraction techniques (i.e. Principal Component Analysis (PCA) and Kernel PCA) in classification and compare the classification accuracies obtained by using different techniques for two different classification methods. The obtained results indicate significant improvements in the accuracies using the supervised feature extraction methods. However, the choice of the method affects the quality of the results for different datasets depending on the availability of the training samples.Keywords
This publication has 26 references indexed in Scilit:
- Extended profiles with morphological attribute filters for the analysis of hyperspectral dataInternational Journal of Remote Sensing, 2010
- Spatial information retrieval, analysis, reasoning and modellingInternational Journal of Remote Sensing, 2010
- On the influence of feature reduction for the classification of hyperspectral images based on the extended morphological profileInternational Journal of Remote Sensing, 2010
- Classification and feature extraction for remote sensing images from urban areas based on morphological transformationsIEEE Transactions on Geoscience and Remote Sensing, 2003
- A new approach for the morphological segmentation of high-resolution satellite imageryIEEE Transactions on Geoscience and Remote Sensing, 2001
- Spatial information retrieval from remote-sensing images. I. Information theoretical perspectiveIEEE Transactions on Geoscience and Remote Sensing, 1998
- Nonlinear Component Analysis as a Kernel Eigenvalue ProblemNeural Computation, 1998
- Attribute Openings, Thinnings, and GranulometriesComputer Vision and Image Understanding, 1996
- Covariance matrix estimation and classification with limited training dataIeee Transactions On Pattern Analysis and Machine Intelligence, 1996
- Threshold superposition in morphological image analysis systemsIeee Transactions On Pattern Analysis and Machine Intelligence, 1990