In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B
classification of remote sensing images. IEEE Transactions on
Geoscience and Remote Sensing, 45(8), pp. 2683-2792.
Najman, L. and Schmitt, M., 1996. Geodesic saliency of
watershed contours and hierarchical segmentation. IEEE
Transactions on Pattern Analysis and Machine Intelligence,
18(12), pp. 1163-1173.
Roeck, T.D., der Voorde, T. V. and Canters, F., 2009. Full
hierarchical versus non-hierarchical classification approaches
for mapping sealed surfaces at the rural-urban fringe using
high-resolution satellite data. Sensor, 9, pp. 22-45.
Sanchez-Hemandez, C., Boyd, D S and Foody, G M., 2007.
One-class classification for mapping a specific land-cover class:
SVDD classification of Fenland. IEEE Transactions on
Geoscience and. Remote Sensing, 45(4), pp. 1061-1073.
Schmitt, M., 1998, Response to the Comment on "Geodesic
Saliency of Watershed Contours and Hierarchical Segmentation.
IEEE Transactions on Pattern Analysis and Machine
Intelligence, 20(7), pp. 764-766.
Yuan, F., and Bauer, M. E., 2006. Mapping impervious surface
area using high resolution imagery: a comparison of
object-oriented classification to per-pixel classification, In
Proceedings of American Society of Photogrammetry and
Remote Sensing Annual Conference, May 1-5, Reno, NV
CD-ROM.
Zhou, Y. and Wang, Y. Q., 2008, Extraction of Impervious
Surface Areas from High Spatial Resolution Imagery by
Multiple Agent Segmentation and Classification.
Photogrammetric Engineering and Remote Sensing, 74(7), pp.
857-868.
ACKNOWLEDGEMENTS
This study was financially supported by National High-Tech
Program, Ministry of Science and Technology, China (Grant
number 2008AA121806).