Automated generation of semi-labeled training samples for nonlinear neural network-based abundance estimation in hyperspectral data

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2, Issue , 2005, Pages 1261-1264

  Plaza, Javier ^a   Plaza, Antonio ^a   Pérez, Rosa ^a   Martínez, Pablo ^a  

^a UNIVERSITY OF EXTREMADURA   (Spain)

Author keywords

Hyperspectral imaging; Multi layer perceptron; Nonlinear mixture analysis; Semi labeled samples; Training samples

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA REDUCTION; DECISION THEORY; KNOWLEDGE BASED SYSTEMS; REMOTE SENSING;

HYPERSPECTRAL IMAGING; MULTI-LAYER PERCEPTRON; NONLINEAR MIXTURE ANALYSIS; SEMI-LABELED SAMPLES; TRAINING SAMPLES;

NEURAL NETWORKS;

EID: 33745699430     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2005.1525348     Document Type: Conference Paper

References (5)

1. A. Baraldi et al., "Comparison of the multi-layer perceptron with neuro-fuzzy techniques in the estimation of cover class mixture in remotely sensed data," IEEE Trans. Geosci. Remote Sens., vol. 39, pp. 994-1005, 2001.
2. G. M. Foody and A. Mathur, "Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification," Remote Sens. Environ., vol. 93, pp. 107-117, 2004.
3. M. Chi and L. Bruzzone, "A semilabeled-sample-driven bagging technique for ill-posed classification problems," IEEE Geosci. Remote Sens. Lett., vol. 2, pp. 69-73, 2004.
4. Q. Jackson and D. A. Landgrebe, "An adaptative method for combined covariance estimation and classification," IEEE Trans. Geosci. Remote Sens., vol. 40, pp. 1082-1087, 2002.
5. J. Plaza, P. Martinez, R. Perez and A. Plaza, "Nonlinear neural network mixture models for fractional abundance estimation in AVIRIS hyperspectral images," in Proc. XIII JPL Airborne Earth Science Workshop, Pasadena, 2004.