Hyperspectral Image Classification with Multi-Scale Feature Extraction

Multi-view feature extraction for hyperspectral image classification

We study the multi-view feature extraction (MV-FE) framework for the classification of hyperspectral images acquired from airborne and spaceborne sensors. This type of data is naturally composed by distinct blocks of spectral channels, forming the hypercube. To reduce the dimensionality of the data by taking advantage of this particular structure, an unsupervised multi-view feature extraction m...

Nonparametric Fuzzy Feature Extraction for Hyperspectral Image Classification

Feature extraction plays an essential role in high-dimensional data classification. Linear discriminant analysis (LDA) is one of the most well-known methods for reducing data dimensionality in various fields. However, there are three inherent limitations when applying LDA to extract features. First, the number of features that can be extracted by LDA is the number of classes minus one at most. ...

Classification of Hyperspectral Data using Best-bases Feature Extraction Algorithms

Improved Statistics Estimation and Feature Extraction for Hyperspectral Data Classification

....................................................................................................................vii CHAPTER 1: INTRODUCTION...................................................................................1 1.1 Statement of the Problem...............................................................................1 1.2 Organization of This Report ...............................

Multiresolution Feature Extraction for Pairwise Classification of Hyperspectral Data