Sub-pixel land-cover classification with SPOT-VEGETATION imagery

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 1, Issue , 2001, Pages 537-539

  Swinnen, Else ^a   Eerens, Herman ^a   Lissens, Gil ^a   Canters, Frank ^a  

^a FLEMISH INSTITUTE FOR TECHNOLOGICAL RESEARCH VITO   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; DATA REDUCTION; IMAGING TECHNIQUES; NEURAL NETWORKS; VEGETATION;

SPOT-VEGETATION IMAGERY; SUB-PIXEL CLASSIFICATION;

REMOTE SENSING;

EID: 0035575136     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. The IGBP-DIS 1km land cover project
2. A review and analysis of backpropagation neural networks for classification of remotely-sensed multi-spectral imagery
3. Continuous fields of vegetation characteristics at the global scale at 1-km resolution
4. Incorporating mixed pixels in the training, allocation and testing stages of supervised classifications
5. Establishment of a 1-km pan-European land cover database for environmental monitoring