Imagerie spatiale

thumb|Première image de la Terre prise par un satellite en orbite. Elle montre une zone éclairée par le Soleil dans l'océan Pacifique et la couverture nuageuse. L'image a été faite alors que le satellite Explorer 6 se trouvait à environ d'altitude, le . thumb|La région des Grands lacs vus depuis l'ISS en 2013 par l'astronaute canadien Chris Hadfield. L'imagerie spatiale est une technique d'observation à distance qui repose sur la prise d'images dans le domaine optique (lumière visible, infrarouge et ultraviolet) depuis l'espace par des équipements installés à bord de satellites artificiels. L'imagerie spatiale constitue une des techniques utilisées pour déterminer les propriétés d'objets naturels ou artificiels à partir du rayonnement électromagnétique émis ou réfléchi par ceux-ci. Ces techniques, regroupées sous le vocable de télédétection, comprennent également l'observation des micro-ondes à l'aide de radars et celle des ondes radio. L'imagerie spatiale repose sur la transformati

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Classification of high resolution satellite images

In this thesis the Support Vector Machine (SVM)is applied on classification of high resolution satellite images. Sveral different measures for classification, including texture mesasures, 1st order statistics, and simple contextual information were evaluated. Additionnally, the image was segmented, using an enhanced watershed method, in order to improve the classification accuracy.

2003

Chargement

Land cover classification of the semi-arid Namibian savanna

Beatrice Bacchilega

The vegetation of semi-arid savanna landscapes relies on the fragile equilibrium between rainfall, grazing and res [Trodd and Dougill, 1998]. For a sustainable management of their farms, farmers need to take into account this delicate equilibrium and correctly balance the amount of animals and the available food and water resources. These two quantities are estimated every year at the end of the growing season (end of May) to dene the yearly management plans [Reinhard, 2017]. Ground based techniques for animal counting and biomass estimation are long and time consuming processes that can hardly provide a good coverage of the farm [Reinhard, 2017]. Farmers are now more and more looking towards remote sensing techniques to overcome the eld work and achieve both these tasks. The main goal of this project was to classify the soil cover in Kuzikus Wildlife Reserve, in the north-eastern Kalahari region of Namibia, in order to provide an estimate of the food availability for wildlife at the end of the growing season. Ultra-high resolution UAV images and coarse resolution satellite images were classied using both supervised and unsupervised classication techniques. Random Forest and Support Vector Machine supervised classiers gave encouraging results and the research showed the great potential of UAV and satellite imagery for biomass estimation. Used together, these two complementary types of data allow to have both a detailed plant species recognition and a general overview of the study area.

2018

Chargement

Land cover classification of the semi-arid Namibian savanna

Beatrice Bacchilega

The vegetation of semi-arid savanna landscapes relies on the fragile equilibrium between rainfall, grazing and fires . For a sustainable management of their farms, farmers need to take into account this delicate equilibrium and correctly balance the amount of animals and the available food and water resources. These two quantities are estimated every year at the end of the growing season (end of May) to define the yearly management plans. Ground based techniques for animal counting and biomass estimation are long and time consuming processes that can hardly provide a good coverage of the farm. Farmers are now more and more looking towards remote sensing techniques to overcome the field work and achieve both these tasks. The main goal of this project was to classify the soil cover in Kuzikus Wildlife Reserve, in the north-eastern Kalahari region of Namibia, in order to provide an estimate of the food availability for wildlife at the end of the growing season. Ultra-high resolution UAV images and coarse resolution satellite images were classified using both supervised and unsupervised classification techniques. Random Forest and Support Vector Machine supervised classifiers gave encouraging results and the research showed the great potential of UAV and satellite imagery for biomass estimation. Used together, these two complementary types of data allow to have both a detailed plant species recognition and a general overview of the study area.

2018

Chargement

Télédétection

La télédétection est l'ensemble des techniques utilisées pour déterminer à distance les propriétés d'objets naturels ou artificiels à partir des rayonnements qu'ils émettent ou réfléchissent. Les tech

Système d'information géographique

Un système d'information géographique ou SIG (en anglais, geographic information system ou GIS) est un système d'information conçu pour recueillir, stocker, traiter, analyser, gérer et présenter tou

Photographie aérienne

La photographie aérienne est un domaine vaste tant sur le plan de la variété des documents que des techniques employées. Histoire thumb|upright=0.6|Appareil photo-mitrailleuse conçu pour

ENV-540: Image processing for Earth observation

This course covers optical remote sensing from satellites and airborne platforms. The different systems are presented. The students will acquire skills in image processing and machine/deep learning to extract end-products, such as land cover or risk maps, from the images.

ENV-341: Remote sensing

Ce cours a pour objectif de familiariser les étudiants avec les principaux concepts, instruments et techniques de la télédétection environnementale. Les interactions ondes/matière, les différents types instruments et les techniques de traitements d'images sont abordés.

CS-442: Computer vision

Computer Vision aims at modeling the world from digital images acquired using video or infrared cameras, and other imaging sensors. We will focus on images acquired using digital cameras. We will introduce basic processing techniques and discuss their field of applicability.