Fully constrained least-squares based linear unmixing [hyperspectral image classification]
- 20 January 2003
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 1401-1403
- https://doi.org/10.1109/igarss.1999.774644
Abstract
No abstract availableThis publication has 3 references indexed in Scilit:
- Least squares subspace projection approach to mixed pixel classification for hyperspectral imagesIEEE Transactions on Geoscience and Remote Sensing, 1998
- Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approachIEEE Transactions on Geoscience and Remote Sensing, 1994
- The least-squares mixing models to generate fraction images derived from remote sensing multispectral dataIEEE Transactions on Geoscience and Remote Sensing, 1991