A linear constrained distance-based discriminant analysis for hyperspectral image classification
- 1 February 2001
- journal article
- Published by Elsevier in Pattern Recognition
- Vol. 34 (2) , 361-373
- https://doi.org/10.1016/s0031-3203(99)00215-0
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- An experiment-based quantitative and comparative analysis of target detection and image classification algorithms for hyperspectral imageryIEEE Transactions on Geoscience and Remote Sensing, 2000
- Interference and noise-adjusted principal components analysisIEEE Transactions on Geoscience and Remote Sensing, 1999
- Least squares subspace projection approach to mixed pixel classification for hyperspectral imagesIEEE Transactions on Geoscience and Remote Sensing, 1998
- Unsupervised interference rejection approach to target detection and classification for hyperspectral imageryOptical Engineering, 1998
- A posteriori least squares orthogonal subspace projection approach to desired signature extraction and detectionIEEE Transactions on Geoscience and Remote Sensing, 1997
- Mapping the distribution of mine tailings in the Coeur d'Alene River Valley, Idaho, through the use of a constrained energy minimization techniqueRemote Sensing of Environment, 1997
- On the relationship between spectral unmixing and subspace projectionIEEE Transactions on Geoscience and Remote Sensing, 1996
- Optimal linear transformation for MRI feature extractionIEEE Transactions on Medical Imaging, 1996
- The least-squares mixing models to generate fraction images derived from remote sensing multispectral dataIEEE Transactions on Geoscience and Remote Sensing, 1991
- Chemical vapor detection with a multispectral thermal imagerOptical Engineering, 1991