Improvements on classification by tolerating NoData values application to a hybrid classifier to discriminate mediterranean vegetation with a detailed legend using multitemporal series of images

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2006, Pages 192-195

  Moré, Gerard ^a   Pons, Xavier ^a,b   Serra, Pere ^b  

^a CREAF   (Spain)

^b UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

IsoData; Landsat; Missing values; NoData

Indexed keywords

DATA REDUCTION; IMAGE ANALYSIS; MAPPING; MAXIMUM LIKELIHOOD; SATELLITE IMAGERY; VEGETATION;

ISODATA; LANDSAT; MISSING VALUES; NODATA;

CLASSIFICATION (OF INFORMATION);

EID: 34948855842     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2006.54     Document Type: Conference Paper

References (10)

1. J.A. Richards, Remote sensing digital image analysis, an introduction, Berlin: Springer-Verlag, 1993.
2. M. Soshany, "Satellite remote sensing of natural Mediterranean vegetation: a review within an ecological context", Prog. Phys. Geogr., vol. 24, 2000, pp. 153-178.
3. O.C. Jensen and A.G. Sánchez-Azofeifa "Satellite-derived ecosystems classification: image segmentation by ecological region for improved classification accuracy, a boreal study case", Int. J. Remote Sens., vol. 27, pp. 233-251, 2006.
4. O. Viñas and X. Baulies, "1:250 000 Land-use map of Catalonia (32 000 km2) using multitemporal Landsat-TM data", Int. J. Remote Sens., vol. 16, pp. 129-146, 1995.
5. W.B. Cohen and S.N. Goward, "Landsat's role in ecological applications of remote sensing", Bioscience, vol. 54, pp. 535-545.
6. X. Pons and L. Solé-Sugrañes, "A simple radiometric correction model to improve automatic mapping of vegetation from multispectral satellite data", Remote Sens. Environ., vol. 48, pp. 191-20424, 1994.
7. R.D. Duda and P.E. Hart, Pattern Classification and Scene Analysis, New York: John Wiley & Sons, 1984.
8. R.M. Lark, "A reappraisal of unsupervised classification, I: correspondence between spectral and conceptual classes", Int. J. Remote Sens., vol. 16, pp. 1425-1443, 1995.
9. P. Serra, X. Pons and D. Saurf, "Post-classification change detection with data from different sensors: some accuracy considerations", Int. J. Remote Sens., vol. 24, pp. 3311-3340, 2003.
10. M. Ninyerola, X. Pons, J.M. Roure, "A methodological approach of climatological modelling of air temperature and precipitation through GIS techniques", Int. J. Climatol, vol. 20, pp. 1823-1841, 2000.