Kernel-based reclassification algorithm applied on very high spatial resolution satellite imagery of complex ecosystems

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5232, Issue , 2004, Pages 276-283

  Keramitsoglou, Iphigenia ^a   Kontoes, Charalambos ^a   Elias, Panagiotis ^a   Sifakis, Nicolaos ^a   Fitoka, Eleni ^b   Weiers, Stefan ^c  

^a NATIONAL OBSERVATORY OF ATHENS   (Greece)

^b Goulandris Natural History Museum   (Greece)

^c GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SOFTWARE; IMAGE ANALYSIS; OPTICAL RESOLVING POWER; SATELLITES; WETLANDS;

LAND COVER CLASSES; VERY HIGH SPATIAL RESOLUTION (VHSR);

ECOSYSTEMS;

EID: 1942517011     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.511071     Document Type: Conference Paper

References (3)

1. Barnsley M.J., and Barr S.L., "Inferring urban land use from satellite sensor images using kernel-based spatial re-classification", Photogrammetric Engineering and Remote Sensing, 62, 949-958, 1996.
2. Kontoes C. C., Raptis V., Lautner M. and Oberstadler R, "The potential of kernel classification techniques for land use mapping in urban areas using 5m-spatial resolution IRS-1C imagery", International Journal of Remote Sensing, 21, 3145-3151, 2000.
3. Tou, J. and Gonzalez, R., Pattern Recognition Principles, Addison-Wesley, Reading, MA, 1974.