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Modeling Three-Dimensional Morse and Morse-Smale Complexes Read chapter Read first chapter

2013 | OriginalPaper | Chapter

21. Integrated DEM Construction and Calibration of Hyperspectral Imagery: A Remote Sensing Perspective

Authors : Christian Wöhler, Arne Grumpe

Published in: Innovations for Shape Analysis

Publisher: Springer Berlin Heidelberg

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Abstract

In this study, we present from a remote sensing perspective a method for the combination of surface gradient information obtained by photoclinometry and shape from shading with absolute depth data (here: light detection and ranging (LIDAR) data) by exploiting their respective advantages, regarding distinctly non-Lambertian surfaces with non-uniform albedos. While photometry-based 3D reconstruction methods yield reliable small-scale surface gradient information for each image pixel, absolute depth data which are typically noisy on small scales but reliable on large scales are provided by LIDAR techniques. The first step of the proposed algorithm consists of an extended photoclinometry approach which takes into account both image and LIDAR data. In a second step the reconstructed surface is refined based on an iterative scheme relying on the minimisation of a global error functional, thus compensating the inaccuracies of the measured surface gradients and the LIDAR data on the respective scales. The surface shape and non-uniform albedo map represent the best fit to the observed image radiances and LIDAR data. We apply our framework to the construction of digital elevation models (DEM) of lunar surface regions. We use hyperspectral imagery in order to employ the DEM to normalise the wavelength-dependent surface reflectance to a standard illumination and viewing geometry. Although we employ a highly realistic, physically motivated reflectance model (the Hapke model), systematic topography-dependent distortions of the pixel spectra occur, which lead to errors in the extracted spectral parameters (e.g. the absorption wavelength, depth, and width of prominent absorption troughs) and for which we propose an empirical, PCA-based correction approach. Based on the correspondingly corrected surface reflectances we obtain a refined DEM along with spectral parameter maps in which (except for the hydroxyl absorption) topographic effects are nearly completely removed.

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previous chapter Fluctuating Distance Fields, Parts, Three-Partite Skeletons
Literature
1.
Agrawal, A., Raskar, R., Chellappa, R.: What is the range of surface reconstructions from a gradient field? In: Leonardis, A., Bischof, H., Pinz, A. (eds.) Proceedings of European Conference on Computer Vision. Lecture Notes in Computer Science, vol. 3951, pp. 578–591. Springer (2006)
2.
Akima, H.: A new method of interpolation and smooth curve fitting based on local procedures. J. Assoc. Comput. Mach. 17(4), 589–602 (1970)MATHCrossRef
3.
Burns, R.G., Abu-Eid, R.M., Huggins, F.E.: Crystal field spectra of lunar pyroxenes. In: Proceedings of Lunar Science Conference, vol. 2, pp. 533–543. Lunar and Planetary Institute, Houston (1972)
4.
Bussey, D.B.J., McGovern, J.A., Spudis, P.D., Neish, C.D., Sörensen, S.A.: Lunar polar illumination conditions derived using Kaguya laser data. In: Proceedings of Annual Meeting of LEAG. Lunar and Planetary Institute, Houston (2009)
5.
Chandrasekhar, S.: Radiative Transfer. Dover, New York (1960)
6.
Clark R., Pieters, C.M., Green, R.O., Boardman, J., Buratti, B.J., Head, J.W., Isaacson, P.J., Livo, K.E., McCord, T.B., Nettles, J.W., Petro, N.E., Sunshine, J.M., Taylor, L.A.: Water and Hydroxyl on the Moon as seen by the Moon Mineralogy Mapper (M3). In: Proceedings of Lunar Planetary Science XXXXI, abstract #2302. Lunar and Planetary Institute, Houston (2010)
7.
Cryer, J.E., Tsai, P.-S., Shah, M.: Integration of shape from shading and stereo. Pattern Recognit. 28(7), 1033–1043 (1995)CrossRef
8.
Dhingra, D., Pieters, C.M., Isaacson, P., Staid, M., Mustard, J., Klima, R., Taylor, L.A., Kramer, G., Nettles, J., M3 team: Spectroscopic signature of the high titanium basalts at mare tranquillitatis from Moon Mineralogy Mapper (M3). In: Proceedings of Lunar Planetary Science XXXXI, abstract #2494. Lunar and Planetary Institute, Houston (2010)
9.
Gaddis, L.R., Staid, M.I., Tyburczy, J.A., Hawke, B.R., Petro, N.E.: Compositional analyses of lunar pyroclastic deposits. Icarus 161, 262–280 (2003)CrossRef
10.
Grieger, B., Beauvivre, S., Despan, D., Erard, S., Josset, J.-L., Koschny, D.: Investigating a peak of (almost) eternal light close to the lunar south pole with SMART-1/AMIE images. In: Proceedings of European Planetary Science Congress, EPSC2008-A-00205, Münster, Germany (2008)
11.
Grumpe, A., Wöhler, C.: DEM construction and calibration of hyperspectral image data using pairs of radiance images. In: Proceedings of IEEE International Symposium on Image and Signal Processing and Analysis, Dubrovnik, Croatia, pp. 609–614 (2011)
12.
Grumpe, A., Wöhler, C.: Image-based construction of lunar digital elevation models of very high lateral resolution. In: Proceedings of Lunar Planetary Science XXXXIII, abstract #2597. Lunar and Planetary Institute, Houston (2012)
13.
Grumpe, A., Herbort, S., Wöhler, C.: 3D reconstruction of non-Lambertian surfaces with non-uniform reflectance parameters by fusion of photometrically estimated surface normal data with active range scanner data. In: Proceedings of Oldenburger 3D-Tage, Oldenburg, Germany, pp. 54–61 (2011)
14.
Hapke, B.W.: Bidirectional reflectance spectroscopy 1: theory. J. Geophys. Res. 86, 3039–3054 (1981)CrossRef
15.
Hapke, B.W.: Bidirectional reflectance spectroscopy 3: correction for macroscopic roughness. Icarus 59, 41–59 (1984)CrossRef
16.
Hapke, B.W.: Bidirectional reflectance spectroscopy 4: the extinction coefficient and the opposition effect. Icarus 67, 264–280 (1986)CrossRef
17.
Hapke, B.W.: Bidirectional reflectance spectroscopy 5: the coherent backscatter opposition effect and anisotropic scattering. Icarus 157, 523–534 (2002)CrossRef
18.
Herbort, S., Grumpe, A., Wöhler, C.: Reconstruction of non-Lambertian surfaces by fusion of shape from shading and active range scanning. In: Proceedings of IEEE International Conferences on Image Processing, Brussels, Belgium, pp. 17–20 (2011)
19.
Hicks, M.D., Buratti, B.J., Nettles, J., Staid, M., Sunshine, J., Pieters, C.M., Besse, S., Boardman, J.: A photometric function for analysis of lunar images in the visual and infrared based on Moon Mineralogy Mapper observations. J. Geophys. Res. 116, E00G15 (2011). doi:10.1029/2010JE003733
20.
Horn, B.K.P.: Shape from shading: a method for obtaining the shape of a smooth opaque object from one view. MIT Technical Report 232, Massachusetts Institute of Technology (1970)
21.
Horn, B.K.P.: Robot Vision. MIT Press, Cambridge, MA (1986)
22.
Horn, B.K.P.: Height and gradient from shading. AI Memo 1105A, MIT AI Lab (1989)
23.
24.
Jolliff, B.L.: Clementine UVVIS multispectral data and the Apollo 17 landing site: what can we tell and how well? J. Geophys. Res. 104(E6), 14123–14148 (1999)CrossRef
25.
Joshi, N., Kriegman, D.J.: Shape from varying illumination and viewpoint. In: Proceedings of the International Conference on Computer Vision. IEEE, New York (2007)
26.
Josset, J.-L., et al.: Science objectives and first results from the SMART-1/AMIE multicolour micro-camera. Adv. Space Res. 37, 14–20 (2006)CrossRef
27.
Kieffer, H.H., Stone, T.C.: The spectral irradiance of the Moon. Astron. J. 129, 2887–2901 (2005)CrossRef
28.
Kirk, R.L., Soderblom, L.A., Howington-Kraus, E., Archinal, B.: USGS high-resolution topomapping of Mars with Mars orbiter camera narrow-angle images. In: Proceedings of ISPRS Symposium on Geospatial Theory, Processing and Applications. International Society for Photogrammetry and Remote Sensing (2002)
29.
30.
Le Mouélic, S., Lucey, P.G., Langevin, Y., Hawke, B.R.: Calculating iron contents of lunar highland materials surrounding Tycho crater from integrated Clementine UV-visible and near-infrared data. J. Geophys. Res. 107(E10), 5074 (2002). doi:10.1029/2000JE001484CrossRef
31.
Li, R., Wang, W., He, S., Yan, L., Meng, X., Crawford, J., Robinson, M.S., Tran, T., Archinal, B.A., the LROC Team: Latest results of 3D topographic mapping using lunar reconnaissance orbiter narrow-angle camera data. In: Proceedings of Lunar Planetary Science XXXXII, abstract #2010. Lunar and Planetary Institute, Houston (2011)
32.
Lim, J., Ho, J., Yang, M.-H., Kriegman, D.: Passive photometric stereo from motion. In: Proceedings of International Conference on Computer Vision, vol. 2, pp. 1635–1642. IEEE, New York (2005)
33.
Lohse, V., Heipke, C., Kirk, R.L.: Derivation of planetary topography using multi-image shape-from-shading. Planet. Space Sci. 54, 661–674 (2006)CrossRef
34.
Marsland, S.: Machine Learning: An Algorithmic Perspective. Chapman & Hall/CRC Machine Learning and Pattern Recognition Series. CRC, Boca Raton (2009)
35.
Matsunaga, T., et al.: Discoveries on the lithology of lunar crater central peaks by SELENE Spectral Profiler. Geophys. Res. Lett. 35, L23201 (2008). doi:10.1029/2008GL035868CrossRef
36.
Mattson, S., Ojha, A., Ortiz, A., McEwen, A.S., Burns, K.: Regional digital terrain model production with LROC-NAC. In: Proceedings Lunar Planetary Science XXXXIII, abstract #2630. Lunar and Planetary Institute, Houston (2012)
37.
McCord, T.B., Taylor, L.A., Orlando, T.M., Pieters, C.M., Combe, J.-Ph., Kramer, G., Sunshine, J.M., Head, J.W., Mustard, J.F.: Origin of OH/Water on the lunar surface detected by the Moon Mineralogy Mapper. In: Proceedings of Lunar Planetary Science XXXXI, abstract #1860. Lunar and Planetary Institute, Houston (2010)
38.
McEwen, A.S.: Photometric functions for photoclinometry and other applications. Icarus 92, 298–311 (1991)CrossRef
39.
McEwen, A.S., Eliason, E., Lucey, P., Malaret, E., Pieters, C., Robinson, M., Sucharski, T.: Summary of radiometric calibration and photometric normalization steps for the Clementine UVVIS images. In: Proceedings Lunar Planetary Science XXIX, abstract #1466. Lunar and Planetary Institute, Houston (1998)
40.
Nehab, D., Rusinkiewicz, S., Davis, J., Ramamoorthi, R.: Efficiently combining positions and normals for precise 3D geometry. ACM Trans. Graph. (Proc. SIGGRAPH) 24(3), 536–543 (2005)
41.
Nettles, J.W., Besse, S., Boardman, J., Combe, J.-P., Clark, R., Dhingra, D., Isaacson, P., Klima, R., Kramer, G., Petro, N.E., Pieters, C.M., Staid, M., Taylor, L.A.: Progress toward a new lunar optical maturity measure based on Moon Mineralogy Mapper (M3) data. In: Proceedings of Lunar Planetary Science XXXXI, abstract #2217. Lunar and Planetary Institute, Houston (2010)
42.
Pieters, C.M., et al.: The Moon Mineralogy Mapper (M3) on Chandrayaan-1. Curr. Sci. 96(4), 500–505 (2009)
43.
Robinson, M.S., et al.: Lunar reconnaissance orbiter camera (LROC) instrument overview. Space Sci. Rev. 150, 81–124 (2010)CrossRef
44.
Scholten, F., Oberst, J., Matz, K.-D., Roatsch, T., Wählisch, M., Robinson, M.S., the LROC Team: GLD100 – the global lunar 100 meter raster DTM from LROC WAC Stereo models. In: Proceedings of Lunar Planetary Science XXXXII, abstract #2046. Lunar and Planetary Institute, Houston (2011)
45.
Schowengerdt, R.A.: Remote Sensing: Models and Methods for Image Processing. Academic Press, Burlington (2006)
46.
Simakov, D., Frolova, D., Basri, R.: Dense shape reconstruction of a moving object under arbitrary, unknown lighting. In: Proceedings of International Conferences on Computer Vision, vol. 2, pp. 1202–1209. IEEE, New York (2003)
47.
Simchony, T., Chellappa, R., Shao, M.: Direct analytical methods for solving poisson equations in computer vision problems. IEEE Trans. Pattern Anal. Mach. Intell. 12(5), 435–446 (1990)CrossRef
48.
Smrekar, S., Pieters, C.M.: Near-infrared spectroscopy of probable impact melt from three large lunar highland craters. Icarus 63, 442–452 (1985)CrossRef
49.
Tompkins, S., Pieters, C.M., Mustard, J.F., Pinet, P., Chevrel, S.D.: Distribution of materials excavated by the lunar crater Bullialdus and implications for the geologic history of the Nubium region. Icarus 110(2), 261–274 (1994)CrossRef
50.
Vaniman, D., Reedy, R., Heiken, G., Olhoeft, G., Mendell, W.: The lunar environment. In: Heiken, G., Vaniman, D., French, B.M. (eds.) Lunar Sourcebook. Cambridge University Press, Cambridge, UK (1991)
51.
Warell, J.: Properties of the Hermean regolith: IV. Photometric parameters of Mercury and the Moon contrasted with Hapke modelling. Icarus 167(2), 271–286 (2004)
52.
Wilhelms, D.E.: A photometric technique for measurement of lunar slopes. In: Astrogeologic Studies, Annual Progress Report, Part D: Studies for Space Flight Program, USGS preliminary report, United States Geological Survey, pp. 1–12 (1964)
53.
Wöhler, C., d’Angelo, P.: Stereo image analysis of non-Lambertian surfaces. Int. J. Comput. Vis. 81(2), 172–190 (2009)
54.
Woodham, R.J.: Photometric method for determining surface orientation from multiple images. Opt. Eng. 19(1), 139–144 (1980)CrossRef
55.
Zhang, L., Curless, B., Hertzmann, A., Seitz, S.M.: Shape and motion under varying illumination: unifying structure from motion, photometric stereo, and multi-view stereo. In: Proceedings of International Conference on Computer Vision, vol. 1, pp. 618–626. IEEE, New York (2003)
Metadata
Title
Integrated DEM Construction and Calibration of Hyperspectral Imagery: A Remote Sensing Perspective
Authors
Christian Wöhler
Arne Grumpe
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
Book
Innovations for Shape Analysis

Print ISBN: 978-3-642-34140-3

Electronic ISBN: 978-3-642-34141-0

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-642-34141-0_21

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