Automatically computing a cinematographic consistent sequence of shots over a set of
actions occurring in a 3D world is a complex task which requires not only the computation of …

Land cover classification is a vital application area in the satellite image processing domain.
Texture is a useful feature in land cover classification. In this paper, we propose a distributed …

Automatically computing a cinematographically consistent sequence of shots over a set of
actions occurring in a 3D world is a complex task that requires not only the computation of …

An important challenge to any image pixels classification system is to correctly assign each
pixel to its proper class without blurring edges delimiting neighboring regions. In this paper …

Markov models are well-established stochastic models for image analysis and processing
since they allow one to take into account the contextual relationships between image pixels …

In this chapter, the concept of stochastic optimal control is well explored using hidden
Markov model (HMM) in classifying land covers of remotely sensed images. The features of …

An important challenge to any image pixels classification system is to correctly assign each
pixel to its proper class without blurring edges delimiting neighboring regions. In this paper …

This work is motivated by the need of evaluating the likelihood probability on sub-images of
not necessarily rectangular shape in some frameworks. For this purpose, we propose an …

Résumé Avec l'avènement des moyens technologiques, l'intérêt de dessiner la terre et les
moyens d'y parvenir sont en perpétuelle évolution, il est possible de mesurer et d'observer …

La classification du terrain à partir des images aériennes a fait l'objet de beaucoup de
travaux de recherches. Son importance est due au grand nombre d'applications et …