IEEE Geoscience and Remote Sensing Magazine - June 2019 - 27

optical remote sensing," Int. J. Remote Sensing, vol. 30, no. 6, pp.
1407-1424, 2009. doi: 10.1080/01431160802438555.
[35] T. V. Haavardsholm, T. Skauli, and I. Kåsen, "A physics-based
statistical signature model for hyperspectral target detection,"
in Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS),
2007, pp. 3198-3201.
[36] S. Matteoli, E. J. Ientilucci, and J. P. Kerekes, "Operational
and performance considerations of radiative-transfer modeling in hyperspectral target detection," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 4, pp. 1343-1355, 2011. doi: 10.1109/
TGRS.2010.2081371.
[37] R. Richter, "Correction of satellite imagery over mountainous
terrain," Appl. Opt., vol. 37, no. 18, pp. 4004-4015, 1998.
[38] C. Miesch, L. Poutier, V. Achard, X. Briottet, X. Lenot, and Y. Boucher,
"Direct and inverse radiative transfer solutions for visible and nearinfrared hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol.
43, no. 7, pp. 1552-1561, 2005. doi: 10.1109/TGRS.2005.847793.
[39] J. E. Hay, "Calculation of monthly mean solar radiation for horizontal and inclined surfaces," Solar Energy, vol. 23, no. 4, pp.
301-307, 1979. doi: 10.1016/0038-092X(79)90123-3.
[40]S. Sandmeier and K. I. Itten, "A physically-based model to correct
atmospheric and illumination effects in optical satellite data of
rugged terrain," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 3,
pp. 708-717, 1997. doi: 10.1109/36.581991.
[41] D. Gu and A. Gillespie, "Topographic normalization of Landsat
TM images of forest based on subpixel sun-canopy-sensor geometry," Remote Sensing Environment, vol. 64, no. 2, pp. 166-175,
1998. doi: 10.1016/S0034-4257(97)00177-6.
[42] J. R. Dymond, J. D. Shepherd, G. Gu, and A. Gillespie, "Comment on 'Topographic normalization of Landsat TM images of
forest based on subpixel sun-canopy-sensor geometry,'" by Gu
and Gillespie (Remote Sens. Environ. 64:166-175, 1998), Remote
Sensing Environment, vol. 69, no. 2, p. 194, 1999.
[43]J. Dozier, "Rapid calculation of terrain parameters for radiation
modeling from digital elevation data," IEEE Trans. Geosci. Remote
Sens., vol. 28, no. 5, pp. 963-969, 1990. doi: 10.1109/36.58986.
[44]K. Ewald, E. J. Ientilucci, A. Buswell, and J. Jacobson, "Improved
atmospheric retrievals of hyperspectral data using geometric
constraints," Proc. SPIE, vol. 9611, 2015.
[45] G. Healey and D. Slater, "Models and methods for automated
material identification in hyperspectral imagery acquired under
unknown illumination and atmospheric conditions," IEEE Trans.
Geosci. Remote Sens., vol. 37, no. 6, pp. 2707-2717, 1999.
[46] E. J. Ientilucci and J. R. Schott, "Target detection in a structured
background environment using an infeasibility metric in an invariant space," Proc. SPIE, vol. 5806, pp. 491-502, 2006.
[47] M. A. Kolodner, "Automated target detection system for hyperspectral imaging sensors," Appl. Opt., vol. 47, no. 28, pp. F61-
F70, 2008. doi: 10.1364/AO.47.000F61.
[48]P. E. Goa, T. Skauli, and I. Kåsen, "Physical subspace models for
invariant material identification: Subspace composition and detection performance," Proc. SPIE, vol. 5573, pp. 203-214, 2004.
[49] R. Richter, M. Bachmann, W. Dorigo, and A. Müller, "Influence
of the adjacency effect on ground reflectance measurements,"
IEEE Geosci. Remote Sens. Lett., vol. 3, no. 4, pp. 565-569, 2006.
doi: 10.1109/LGRS.2006.882146.
JUNE 2019

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE

[50] P.-H. Suen, G. Healey, and D. Slater, "The impact of viewing geometry on material discriminability in hyperspectral images,"
IEEE Trans. Geosci. Remote Sens., vol. 39, no. 7, pp. 1352-1359,
2001. doi: 10.1109/36.934068.
[51] J. P. Bishoff, D. W. Messinger, and E. J. Ientilucci, "Oblique hyperspectral target detection," Proc. SPIE, vol. 7086, pp. 70860O-
708612, 2008.
[52] Y. J. Kaufman and B.-C. Gao, "Remote sensing of water vapor in
the near IR from EOS/MODIS," IEEE Trans. Geosci. Remote Sens.,
vol. 30, no. 5, pp. 871-884, 1992. doi: 10.1109/36.175321.
[53]A. M. Baldridge, S. J. Hook, C. I. Grove, and G. Rivera, "The
ASTER spectral librar y version 2.0," Remote Sensing Environment, vol. 113, no. 4, pp. 711-715, 2009. doi: 10.1016/
j.rse.2008.11.007.
[54] A. Berk et al., "MODTRAN5: A reformulated atmospheric band
model with auxiliary species and practical multiple scattering
options," Proc. SPIE, vol. 5425, pp. 341-347, 2004.
[55] N. Acito, S. Matteoli, A. Rossi, M. Diani, and G. Corsini, "Hyperspectral airborne 'Viareggio 2013 Trial' data collection for
detection algorithm assessment," IEEE J. Select. Topics Appl. Earth
Observ. Remote Sens., vol. 9, no. 6, pp. 2365-2376, 2016. doi:
10.1109/JSTARS.2016.2531747.
[56] Cornell University Program of Computer Graphics, "Measurement data," 2006. [Online]. Available: http://www.graphics
.cornell.edu/online/measurements/
[57] R. L. Cook and K. E. Torrance, "A reflectance model for computer
graphics," ACM Trans. Graph., vol. 1, pp. 7-24, Jan. 1982. doi:
10.1145/357290.357293.
[58] J. P. Kerekes and J. E. Baum, "Full-spectrum spectral imaging system analytical model," IEEE Trans. Geosci. Remote Sens., vol. 43,
no. 3, pp. 571-580, 2005. doi: 10.1109/TGRS.2004.841428.
[59] M. Shimoni, R. Haelterman, and P. Lodewyckx, "Advancing the
retrievals of surface emissivity by modelling the spatial distribution of temperature in the thermal hyperspectral scene," Proc.
SPIE, vol. 9840, 2016, Art. no. 98400O.
[60]M. T. Eismann, Hyperspectral Remote Sensing. Bellingham, WA:
SPIE, 2012.
[61] S. Matteoli, M. Diani, and J. Theiler, "An overview background
modeling for detection of targets and anomalies in hyperspectral
remotely sensed imagery," IEEE J. Select. Topics Appl. Earth Observ.
Remote Sens., vol. 7, no. 6, pp. 2317-2336, 2014. doi: 10.1109/
JSTARS.2014.2315772.
[62] K. Kim and G. Shevlyakov, "Why Gaussianity: An attempt to explain this phenomenon," IEEE Signal Process. Mag., vol. 25, no. 2,
pp. 102-113, 2008.
[63] R. S. DiPietro, D. G. Manolakis, R. B. Lockwood, T. Cooley, and
J. Jacobson, "Performance evaluation of hyperspectral detection
algorithms for sub-pixel objects," Proc. SPIE, vol. 7695, 2010, Art.
no. 76951W.
[64] A. Schaum, "Continuum fusion solutions for replacement target
models in electro-optic detection," Appl. Opt., vol. 53, no. 13, pp.
C25-C31, 2014. doi: 10.1364/AO.53.000C25.
[65] A. Zare, P. Gader, and G. Casella, "Sampling piecewise convex
unmixing and endmember extraction," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 3, pp. 1655-1665, 2013. doi: 10.1109/
TGRS.2012.2207905.

27
http://www.graphics.cornell.edu/online/measurements/ http://www.graphics.cornell.edu/online/measurements/
IEEE Geoscience and Remote Sensing Magazine - June 2019

Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - June 2019
