Geoscience Reference
In-Depth Information
Florinsky I (2011) Digital terrain analysis in soil science and geology. Academic Press, Waltham
Foody GM, McCulloch MB, Yates WB (1995) Classification of remotely sensed data by an arti-
ficial neural network: issues related to training data characteristics. Photogram Eng Remote
Sens J 61(4):391-401
Freisleben B, Merz P (1996) New local search operators for travelling salesman problem. Paper
presented at the 4th international conference on parallel problem solving from nature, PPSN
IV LNCS, vol 1141. Springer, Berlin, p 22
Hardy RL (1971) Multiquadric equations of topography and other irregular surfaces. J Geophys
Res 76:1905-1915
Hardy RL (1990) Theory and applications of the multiquadric-biharmonic method: 20 years of
discovery 1968-1988. Comput Math Appl 19(8-9):163-208
Haupt RL, Haupt SE (2004) Practical genetic algorithm. Wiley, New York
Heesom D, Mahdjobi L (2001) Effect of grid resolution and terrain characteristics on data from
DTM. J Comput Civ Eng 15(2):137-143
Hertz J, Krogh A, Palmer RG (1991) Introduction to the theory of neural computation. Addison-
Wesley Publishing Company, Redwood City
Holland JH, Holyoak KJ, Nisbett RE, Thagard P (1989) Induction: processes of inference, learn-
ing and discovery. MIT Press, Cambridge
Karabork H, Baykan OK, Altuntas C, Yildz F (2008) Estimation of unknown height with artifi-
cial neural network on digital terrain model. The international archives of the photogramme-
try, remote sensing and spatial information science, XXXVII:115-118
Kasser M, Egels Y (2002) Digital photogrammetry. CRC Press, London
Krige DG (1951) A statistical approach to some mine valuations and allied problems at the wit-
watersrand. Master's thesis, University of Witwatersrand
Larsson E, Fornberg B (2003) Theoretical and computational aspects of multivariate interpo-
lation with increasingly flat radial basis functions. Available via DIALOG. http://amath.
colorado.edu/faculty/fornberg/Docs/el_bf_2.pdf . Accessed 30 Dec 2013
Li J, Heap AD (2011) A review of comparative studies of spatial interpolation methods in envi-
ronmental sciences: performance and impact factors. Ecol Inf 6(3-4):228-241
Li ZL (1990) Sampling strategy and accuracy assessment for digital terrain modelling. Ph.D the-
sis, The University of Glasgow, UK
Li ZL (1992) Variation of the accuracy of digital terrain models with sampling interval.
Photogram Rec 14(79):113-128
Li Z, Zhu Q, Gold C (2004) Digital terrain modeling: principles and methodology. CRC Press,
Boca Raton
Lu GY, Wong DW (2008) An adaptive inverse-distance weighting spatia interpolation technique.
Comput Geosci 34:1044-1055
Matheron G (1963) Principles of geostatistics. Econ Geol 58:1246-1266
de Mesnard L (2013) Pollution models and inverse distance weighting: some critical remarks.
Comput Geosci 52:459-469
Miller C, Laflamme R (1985) The digital terrain model-theory and applications. Photogram Eng
24:433-442
Mitas L, Mitasova H (1999) Spatial interpolation, geographic information systems, principles,
techniques, management and applications. Wiley, New York, pp 481-492
Mokhtarzade M, Valadan Zoej MJ (2007) Road detection from high-resolution satellite images
using artificial neural networks. Int J Appl Earth Obs Geoinf 9:32-40
Petrie G, Kennie T (eds) (1990) Terrain modelling in surveying and civil engineering. Whittles
Publishing, Caithness-England
Picton P (2000) Neural networks. Palgrave Macmillan, Basingstoke
Ravagnani M, Silva AP, Constantino AA, Arroyo PA (2005) Heat exchanger network synthesis
and optimisation using genetic algorithm. Appl Therm Eng 25(7):1217-1223
Rees WG (2000) The accuracy of digital elevation models interpolated to higher resolutions. Int J
Remote Sens 21(1):7-20
Search WWH ::




Custom Search