We report on atomistic models of laminar pyrocarbons constructed using a combination of
2D high resolution transmission electron microscopy (HRTEM) lattice fringe image analysis, …

To obtain accurate classification results of hyperspectral images, both spectral and spatial
information should be fully exploited in the classification process. In this paper, we propose a …

This paper focuses on the denoising and enhancing of 3-D reflection seismic data. We
propose a pre-processing step based on a non-linear diffusion filtering leading to a better …

Grapevine wood fungal diseases such as esca are among the biggest threats in vineyards
nowadays. The lack of very efficient preventive (best results using commercial products report …

We present a comparative study of the structure and texture at the nanoscale of two well-known
high-textured laminar pyrocarbons (PyCs), the rough laminar (RL) and regenerative …

The pansharpening problem amounts to fusing a high-resolution panchromatic image with
a low-resolution multispectral image so as to obtain a high-resolution multispectral image. …

Data on forest variables (eg, biomass, trunk height, density) are necessary for environmental
and forest management applications. It has been shown that texture can be used instead of …

In this paper, we explore the potentialities of using wavelet-based multivariate models for the
classification of very high resolution optical images. A strategy is proposed to apply these …

Field delineation is an essential preliminary step for the design of management maps for
grape production. In this paper, we propose a new algorithm for the segmentation of vine fields …

Early yield estimation needs to be more accurate in order to improve site specific management
of vineyards and increase their profitability. Common methods for yield estimation are …