References
[1]. Acqua, F., P. Gamba, Ferrari, A., Palmason, J.A.,
Benediktsson, J.A, and Arnason, K. (2004). Exploiting
spectral and spatial information in hyperspectral urban data with high resolution. IEEE Geoscience and Remote
Sensing Letters, 1, 322–326.
[2]. Barata, T., and Pina, P. (2006). A morphological
approach for feature space partitioning. IEEE
Geoscience and Remote Sensing Letters, 3, 173–177.
[3]. Benediktsson, J.A., Palmason, J.A., and Sveinsson,
J.R. (2005). Classification of Hyperspectral Data From
Urban Areas Based on Extended Morphological Profiles.
IEEE Transactions on Geoscience and Remote Sensing,
43, 480–491.
[4]. Benediktsson, J.A., Pesaresi, M., and Arnason, K.
(2003). Classification and Feature Extraction for Remote
Sensing Images From Urban Areas Based on
Morphological Transformations. IEEE Transactions on
Geoscience and Remote Sensing, 41, 1940–1949.
[5]. Brown, K. M., Foody, G. M., and Atkinson, P. M. (2009).
Estimating per-pixel thematic uncertainty in remote
sensing classifications. International Journal of Remote
Sensing, 30(1), 209-229.
[6]. Ferrier, G., White, K., Griffiths, G., Brayant, R., and
Steffouli, M. (2002). The mapping of hydrothermal
alteration zones on the island of Lesvos, Greece using an
integrated remote sensing dataset. International Journal
of Remote Sensing, 23, 341–356.
[7]. Gonzales, R., and Wintz, P. (1987). Digital Image
nd Processing, 2 edition Addison Wesley Publishing.
[8]. Ingram, R., Lewis, A., and Tutwiller, L. (2004). An
automatic nonlinear correlation approach for processing
of hyperspectral images. International Journal of Remote
Sensing, 25, 4981– 4998.
[9]. J. Holmgren, and Persson, U. Söderman, (2008).
Species identification of individual trees by combining
high resolution LiDAR data with multi-spectral images.
International Journal of Remote Sensing, 29, 1537 – 1552.
[10]. Krishnamurthy, S., Iyenga, S.S., Holyer, R.J., and
Lybanon, M. (1994). Histogram-Based Morphological
Edge Detector. IEEE Transactions on Geoscience and
Remote Sensing, 32, 759–761.
[11]. Meer, F.V.D. (2000). Spectral curve shape matching
with a continuum removed CCSM algorithm.
International Journal of Remote Sensing, 21, 3178–3185.
[12]. Meer, F.V.D., and Bakker, W. (1997a). CCSM: Cross
Corelogram Spectral Matching. International Journal of
Remote Sensing, 18, 1197–1201.
[13]. Meer, F.V.D., and Bakker, W. (1997b). CCSM: Cross
Corelogram Spectral Matching. Remote Sensing of
Environment, 61, 371–382.
[14]. M.J. Chopping, L.H. Su, A. Rango and C. MaxWell,
(2004). Modeling the reflectance anistropy of
chihuahuan desert grass-shrub transition canopy-soil
complexes. International Journal of Remote Sensing, 25,
2725–2745.
[15]. Moskal, L., and Franklin, S. (2004). Relationship
between airborne multispectral image texture and aspen
defoliation. International Journal of Remote Sensing, 25,
2701–2711.
[16]. Pesaresi, M., and Benediktsson, J.A. (2001). A New
Approach for the Morphological Segmentation of High-
Resolution Satellite Imagery. IEEE Transactions on
Geoscience And Remote Sensing, 39, 309–320.
[17]. Peter Bunting, Richard M. Lucas, Kerstin Jones, and
Anthony R. Bean, (2010). Characterization and mapping
of forest communities by clustering individual tree crowns.
Remote Sensing of Environment 114, Issue 11, Pages
2536-2547.
[18]. Plaza, A., Martinez, P., Perez, R., and Plaza, J. (2002).
Spatial/Spectral Endmember Extraction by
Multidimensional Morphological Operations. IEEE
Transactions on Geoscience and Remote Sensing, 40, 2025–2041.
[19]. Plaza, A., Martinez, P., Plaza, J., and Perez, R. (2005).
Dimensionality Reduction and Classification of
Hyperspectral Image Data Using Sequences of Extended
Morphological Transformations. IEEE Transactions on
Geoscience And Remote Sensing, 43, 466–479.
[20]. Q. Xiao, S.L.Ustin, and Pherson, E. (2004). Using AVIRIS
data and multiple-Masking techniques to map urban
forest tree species. International Journal of Remote
Sensing, 25, 5637–5654.
[21]. Salhi, M., Kallel, A., Masmoudi, D.S., and Derbel, N.
(2006). Remotely sensed image segmentation by
nonlinear correlation. Information and Communication
Technologies, ICTTA '06. 2nd Issue Damascus, Pages 424 -
429.
[22]. Soille, P., and Pesaresi, M. (2002). Advances in
Mathematical Morphology Applied to Geoscience and
Remote Sensing. IEEE Transactions on Geoscience and
Remote Sensing,40, 2042–2055.
[23]. Su, B., Li, Z., GrahamLodwick, and Muller, J.C.
(1997). Algebraic models for the aggregation of area
features based upon morphological operators.
International Journal of Geographical Information
Science, 11, 233–246.
[24]. Tripathi, N.K., Gokhale, K.V.G.K., and Siddiqui, M.U.
(2000). Directional morphological image transforms for
lineament extraction from remotely sensed images.
International Journal of Remote Sensing, 21, 3281–2392.
