Two-dimensional linear prediction and spectral estimation on a polar raster

Discrete fast algorithms for two-dimensional linear prediction on a polar raster

New generalized split Levinson and Schur algorithms for the two-dimensional linear least squares prediction problem on a polar raster are derived. The algorithms compute the prediction filter for estimating a random field at the edge of a disk, from noisy observations inside the disk. The covariance function of the random field is assumed to have a Toeplitzplus-Hankel structure for both its rad...

Hyperspectral Image Classification Based on the Fusion of the Features Generated by Sparse Representation Methods, Linear and Non-linear Transformations

The ability of recording the high resolution spectral signature of earth surface would be the most important feature of hyperspectral sensors. On the other hand, classification of hyperspectral imagery is known as one of the methods to extracting information from these remote sensing data sources. Despite the high potential of hyperspectral images in the information content point of view, there...

An Opertional Method for The Numerical Solution of Two Dimensional Linear Fredholm Integral Equations With an Error Estimation

SPOT-5 Spectral and Textural Data Fusion for Forest Mean Age and Height Estimation

Precise estimation of the forest structural parameters supports decision makers for sustainable management of the forests. Moreover, timber volume estimation and consequently the economic value of a forest can be derived based on the structural parameter quantization. Mean age and height of the trees are two important parameters for estimating the productivity of the plantations. This research ...

Two-Dimetional Hydraulic Simulation of Floods using the LISFLOOD-FP Raster Model (A Case Study: The Shemshak Watershed, Tehran Province)

    LISFLOOD-FP belongs to a new generation of hydrodynamic models of flood simulation, which is implemented by a digital elevation map for the river and the waterways, route information and flow rates The LISFLOOD-FP features are two-dimensional hydraulic models: 1. based on raster 2. large scale 3. ease of formulation and high computational efficiency 4. simplicity of use 5. spatial adjustmen...