-
- 1
- Barone J., M.
Álgebra linear.
IME-USP, São Paulo, Brasil, 1990.
- 2
- Callioli, C.A.
e Domingues H.H. e Costa R.C.F.
Álgebra linear e aplicações.
Atual Editora Ltda, São Paulo, Brasil, 1987.
- 3
- Cesar Jr., R.
M. e Costa, L. F.
Shape Analysis and Classification: Theory and Practice.
CRC Press, USA, 2001.
- 4
- Garcia, F.J. e
Gilabert, M.A. e Melia, J.
Linear spectral mixture modelling to estimate vegetation amount from
optical spectral data.
INT. J. Remote Sensing, 17:3373-3400, 1996.
- 5
- Garcia, F.J. e
Gilabert, M.A. e Melia, J.
Extraction of endmembers from spectral mixtures.
Remote Sensing Environment, 17:237-253, 1999.
- 6
- Gonzalez, R. C.
e Woods, R. E.
Processamento de Imagens Digitais.
Edgard Blücher, Brasil, 1992.
- 7
- Holland, J.H.
Adaptation in Natural and Artificial Systems.
University of Michigan Press, Ann Arbor, 1975.
- 8
- Hord, R. Michael.
Digital image processing of remotely sensed data.
Academic Press, USA, 1982.
- 9
- Foley, J. D. e
van Dam, A. e Feiner, S. K. e Hughes, J. F.
Computer Graphics - Principles And Practice.
Addison-Wesley, EUA, 1990.
- 10
- Mallinowski, E.R.
Theory of error in factor analysis. analytical chemistry.
Analytical Chemistry, 49(4), April 1977.
- 11
- Michalewicz, Z.
Genetic algorithms + data structures = evolution programs.
Springer-Verlag, New York, 1994.
- 12
- Reyment, R. A.
Applied factor analysis in the natural sciences.
Cambridge University Press, New York, NY, USA, 1996.
- 13
- Shimabukuru, Y.E.
e Smith, J.A.
The least-squares mixing models to generate fraction images derived
from remote sensing multispectral data.
IEEE Transactions on Geocience and Remote Sensing, 29:16-20,
1991.
- 14
- Vose, M. D.
The simple genetic algorithm :foundations and theory. Cambridge.
Mass. MIT Press, 1999. |
