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mapping natural 2000 Habitats to improve forest management. Photogrammetric Engineering & Remote Sensing 78(9):991–999.
Hofmann, T., Puzicha, J., and Buhmann, J. 1998. Unsupervised texture segmentation in a
deterministic annealing framework. IEEE Transactions on Pattern Analysis and Machine
Intelligence 20(8):803–818.
Holt, A., Seto, E., Rivard, T., and Gong, P. 2009. Object-based detection and classification of
vehicles from high resolution aerial photography. Photogrammetric Engineering & Remote
Sensing 75(7):871–880.
Huang, F., and Qi, Y. 2010. Object-oriented land cover extraction in Changbai Natural Reserve
from IKONOS image. 18th International Conference on Geoinformatics, June 18–20.
Im, J., Jensen, J., and Hodgson, M. 2008a. Object-based classification using high posting
density lidar data. GIScience and Remote Sensing 45(2):209–228.
Im, J., Jensen, J., and Tullis, J. 2008b. Object-based change detection using correlation image
analysis and image segmentation techniques. International Journal of Remote Sensing
29(2):399–423.
Jacquin, A., Misakova, L., and Gay, M. 2008. A hybrid object-based classification approach
for mapping urban sprawl in periurban environment. Landscape and Urban Planning
84:152–165.
Jensen, J., Garcia-Quijano, M., Hadley, B., Im, J., and Wang, Z. 2006. Remote sensing
agricultural crop type for sustainable development in South Africa. Geocarto International
21(2):5–18.
Johansen, K., Arroyo, L., Phinn, S., and Witte, C. 2010. Comparison of geo-object based and
pixel-based change detection of riparian environments using high spatial resolution multispectral imagery. Photogrammetric Engineering & Remote Sensing 76(2):123–136.
Johnson, B., and Xie, Z. 2011. Unsupervised image segmentation evaluation and refinement
using a multi-scale approach. ISPRS Journal of Photogrammetry and Remote Sensing
66:473–483.
Karantzalos, K., and Argialas, D. 2009. A region-based level set segmentation for automatic
detection of man-made objects from aerial and satellite images. Photogrammetric Engineering & Remote Sensing 75(6):667–677.
Ke, Y., Quackenbush, L., and Im, J. 2010. Synergistic use of QuickBird multispectral imagery
and LIDAR data for object-based forest species classification. Remote Sensing of Environment 114:1141–1154.
Kim, M., Holt, J., Eisen, R., Padgett, K., Reisen, W., and Croft, J. 2011a. Detection of
swimming pools by geographic object-based image analysis to support west nile virus
control effects. Photogrammetric Engineering & Remote Sensing 77(11):103–113.
Kim, M., Warner, T., Madden, M., and Atkinson, D. 2011b. Multi-scale GEOBIA with very
high spatial resolution digital aerial imagery: scale, texture, and image objects. International
Journal of Remote Sensing 32(10):2825–2850.
Laliberte, A., Browning, D., and Rango, A. 2012. A comparison of three feature selection
methods for object-based classification of sub-decimeter resolution UltraCam-L imagery.
International Journal of Applied Earth Observation and Geoinformation 15:70–78.
Laliberte, A., and Rango, A. 2009. Texture and scale in object-based analysis of subdecimeter
resolution unmanned aerial vehicle (UAV) imagery. IEEE Transactions on Geoscience and
Remote Sensing 47(3):761–770.
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