funding. Appre ciation is expres sed to Dr. Jingle Wu a nd Dr. Guill ermo Casti lla for
insightf ul comments on earlier versi ons of this manus cript. Data wer e provi ded wi th
funds from a team grant from FCAR, Gouvernem ent du Québec, awarded to Dr.
André Bouchard and Dr. Dani elle Marce au.
REFEREN CES
Ahl, V., and Allen, T. F. H. 1996. Hierarchy Theory: A Vision, Vocabulary, and Epistemology .
New York: Columbia University Press.
Allen, T. F. H., and Starr, T. B. 1982. Hierarchy Perspective for Ecological Complexity .
Chicago: University of Chicago Press.
Baatz, M., and Schäpe, A. 2000. Multiresolution segmentation: An optimization approach for
high quality multiscale image segmentation. In J. Strobl and T. Blaschke (Eds.), Angewandte Geogr. Informationsverarbeitung XII. Heidelberg: Wichmann, pp. 12–23.
Beucher, S., and Lantuéjoul, C. 1979. Use of watersheds in contour detection. Int. Workshop
on Image Processing, Real-time Edge and Motion Detection/Estimation, Rennes, France,
pp. 17 –21, September, CCETT/IRISA (Centre commun d’études de télédiffusion et télécommunications/Institut de recherche en informatique et systèmes aléatoires), Report No.
132, 2.1 –2.12.
Biederman, I. 1987. Recognition-by-components: A theory of human image understanding.
Psychological Review 94(2):115– 147.
Blaschke, T. 2010. Object based image analysis for remote sensing. ISPRS International
Journal of Photogrammetry and Remote Sensing 65(1):2–16.
Bogaert, J. 2003. Lack of agreement on fragmentation metrics blurs correspondence between
fragmentation experiments and predicted effects. Conservation Ecology 7(1):r6; available
at: http://www.consercol.org/vol7/iss1/resp6.
Bouchard, A., and Domon, G. 1997. The transformation of the natural landscapes of the HautSaint-Laurent (Québec) and its implication on future resources management. Landscape
and Urban Planning 37(1– 2):99–107.
Burnett, C., and Blaschke, T. 2003. A multi-scale segmentation/object relationship modelling
methodology for landscape analysis. Ecological Modelling 168(3):233 –249.
Canny, J. 1986. A computational approach to edge detection. IEEE Transactions on Pattern
Analysis and Machine Intelligence 8(6):679–697.
Castilla, G. 2003. Object-oriented Analysis of Remote Sensing Images for Land Cover
Mapping: Conceptual Foundations and a Segmentation Method to Derive a Baseline
Partition for Classi fication. Ph.D. Dissertation, Polytechnic University of Madrid; http://
www.montes.upm.es/Servicios/biblioteca/tesis/GCastillaTD_Montes.pdf.
Castilla, G., and Hay, G. J. 2008. Image-objects and geo-objects. In T. Blaschke, S. Lang, and
G. J. Hay (Eds.), Object-Based Image Analysis. Spatial Concepts for Knowledge-Driven
Remote Sensing Applications. Berlin: Springer, pp. 91–110.
Castilla, G., Hay, G. J., and Ruiz, J. R. 2008. Size-constrained Region Merging (SCRM): An
automated delineation tool for assisted photointerpretation. Photogrammetric Engineering
& Remote Sensing 74(4):409–419.
Chen, G., Hay, G. J., Carvalho, L. M. T., and Wulder, M. 2012. Object Based Change
Detection. International Journal of Remote Sensing 33(14):4434–4457.
164
VISUALIZING SCALE-DOMAIN MANIFOLDS
insightf ul comments on earlier versi ons of this manus cript. Data wer e provi ded wi th
funds from a team grant from FCAR, Gouvernem ent du Québec, awarded to Dr.
André Bouchard and Dr. Dani elle Marce au.
REFEREN CES
Ahl, V., and Allen, T. F. H. 1996. Hierarchy Theory: A Vision, Vocabulary, and Epistemology .
New York: Columbia University Press.
Allen, T. F. H., and Starr, T. B. 1982. Hierarchy Perspective for Ecological Complexity .
Chicago: University of Chicago Press.
Baatz, M., and Schäpe, A. 2000. Multiresolution segmentation: An optimization approach for
high quality multiscale image segmentation. In J. Strobl and T. Blaschke (Eds.), Angewandte Geogr. Informationsverarbeitung XII. Heidelberg: Wichmann, pp. 12–23.
Beucher, S., and Lantuéjoul, C. 1979. Use of watersheds in contour detection. Int. Workshop
on Image Processing, Real-time Edge and Motion Detection/Estimation, Rennes, France,
pp. 17 –21, September, CCETT/IRISA (Centre commun d’études de télédiffusion et télécommunications/Institut de recherche en informatique et systèmes aléatoires), Report No.
132, 2.1 –2.12.
Biederman, I. 1987. Recognition-by-components: A theory of human image understanding.
Psychological Review 94(2):115– 147.
Blaschke, T. 2010. Object based image analysis for remote sensing. ISPRS International
Journal of Photogrammetry and Remote Sensing 65(1):2–16.
Bogaert, J. 2003. Lack of agreement on fragmentation metrics blurs correspondence between
fragmentation experiments and predicted effects. Conservation Ecology 7(1):r6; available
at: http://www.consercol.org/vol7/iss1/resp6.
Bouchard, A., and Domon, G. 1997. The transformation of the natural landscapes of the HautSaint-Laurent (Québec) and its implication on future resources management. Landscape
and Urban Planning 37(1– 2):99–107.
Burnett, C., and Blaschke, T. 2003. A multi-scale segmentation/object relationship modelling
methodology for landscape analysis. Ecological Modelling 168(3):233 –249.
Canny, J. 1986. A computational approach to edge detection. IEEE Transactions on Pattern
Analysis and Machine Intelligence 8(6):679–697.
Castilla, G. 2003. Object-oriented Analysis of Remote Sensing Images for Land Cover
Mapping: Conceptual Foundations and a Segmentation Method to Derive a Baseline
Partition for Classi fication. Ph.D. Dissertation, Polytechnic University of Madrid; http://
www.montes.upm.es/Servicios/biblioteca/tesis/GCastillaTD_Montes.pdf.
Castilla, G., and Hay, G. J. 2008. Image-objects and geo-objects. In T. Blaschke, S. Lang, and
G. J. Hay (Eds.), Object-Based Image Analysis. Spatial Concepts for Knowledge-Driven
Remote Sensing Applications. Berlin: Springer, pp. 91–110.
Castilla, G., Hay, G. J., and Ruiz, J. R. 2008. Size-constrained Region Merging (SCRM): An
automated delineation tool for assisted photointerpretation. Photogrammetric Engineering
& Remote Sensing 74(4):409–419.
Chen, G., Hay, G. J., Carvalho, L. M. T., and Wulder, M. 2012. Object Based Change
Detection. International Journal of Remote Sensing 33(14):4434–4457.
164
VISUALIZING SCALE-DOMAIN MANIFOLDS