Recently obtained data on texture development is analyzed via texture predictions for aggregates subject to finite deformations via high pressure torsion (HPT).
We also introduce a new generalized normal distribution function, the ellipsoidal NDF, to compactly represent non-symmetric features in our measured data and texture synthesis.
Instead, the method presented here relies on spatial relationships which are captured in two quantities: spatial frequency from range data and texture from camera data.
Further, the study employed an innovative methodological framework of ancillary data (viz., texture imagery, Normalized Difference Water Index-NDWI and drainage network) for post-classification corrections.
PTF is a simple tool that converts easily obtainable soil data like texture and organic matter into the soil hydraulic functions (pF and Kh cuves) often required for modeling.
We combined a detailed field study of forest canopy damage with calibrated Landsat 7 Enhanced Thematic Mapper Plus (ETM+) reflectance data and texture analysis to assess the sensitivity of basic broadband optical remote sensing to selective logging in Amazonia.
Results from macroscopic measurements of remanent and unipolar strain with the corresponding data on texture, derived from in situ synchrotron radiation XRD patterns, are analyzed and evaluated by a semi-empirical approach.
Fig. 6 Cross-correlation between monostatic and bistatic sea clutter data, for texture (a) and in-phase and quadrature speckle components (b).
Land cover specific interpolated vegetation indices, gridded temperature and precipitation data, soil texture, solar radiation, and elevation are all used to estimate NPP.
In our study, we assumed that the information relating to spatial context could be estimated from surrounding satellite data or texture information, due to the existence of spatial autocorrelation [3, 9].
