Decision fusion in sensor networks enables sensors to improve classification accuracy while
reducing the energy consumption and bandwidth demand for data transmission. In this …

The frequent growth of visual data, either by countless monitoring video cameras wherever
we go or the popularization of mobile devices that allow each person to create and edit their …

Recognizing different kinds of fruits and vegetables is a common task in supermarkets. This
task, however, poses several challenges as it requires the identification of different species …

As an efficient strategy, collaborative fusion can promote the classification performance
while decreasing data transmission energy consumption and bandwidth requirements. In …

O uso de técnicas de sensoriamento remoto orbital representa um significativo avanço para
os levantamentos de dados da cafeicultura, principalmente visando a complementação das …

In the past few years, segmentation and classification techniques have become a
cornerstone of many successful remote sensing algorithms aiming at delineating geographic …

In this paper we propose a novel method of generating 3D morphable models (3DMMs) from
2D images. We develop algorithms of 3D face reconstruction from a sparse set of points …

The ever-growing access to high-resolution images has prompted the development of
region-based classification methods for remote sensing images. However, in agricultural …

The ever-growing access to high-resolution images has prompted the development of
region-based classification methods for remote sensing images. However, in agricultural …

A huge effort has been made in the development of image classification systemswith the
objective of creating high-quality thematic maps and to establishprecise inventories about …