Publications related to Accurate Optical Target Pose Determination For Applications In Aerial Photogrammetry

swissALPS: a Dataset for Imbalanced Land Cover Mapping in Alpine Regions

Our dataset consists of very high-resolution aerial images (50cm) and a digital elevation model (50cm) that covers approx. 2300 km2 of land above 2000m altitude in the southwestern part of Switzerland. Our land cover labels focus on alpine land cover that ...

IEEE DataPort2023

Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks

Devis Tuia, Alex Hubertus Levering

Urban planners are increasingly interested in understanding what makes a neighbourhood pleasant and liveable. In this paper, we use the overhead perspective as a new way to describe and understand liveability of city neighborhoods. We predict building qual ...

IEEE2021

Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency

Pascal Fua, Jan Kybic, Raphael Sznitman, Engin Türetken, Przemyslaw Rafal Glowacki, Miguel Amável Dos Santos Pinheiro, Daniel Lebrecht, Agata Justyna Mosinska

We propose a novel approach to reconstructing curvilinear tree structures evolving over time, such as road networks in 2D aerial images or neural structures in 3D microscopy stacks acquired in vivo. To enforce temporal consistency, we simultaneously proces ...

2017

Bundle adjustment with raw inertial observations

Jan Skaloud, Davide Antonio Cucci, Martin Rehak

t is well known that accurate aerial position and attitude control is beneficial for image orientation in airborne photogrammetry. The aerial control is traditionally obtained by Kalman filtering/smoothing inertial and GNSS observations prior to the bundle ...

2017

Time synchronization of consumer cameras on Micro Aerial Vehicles

Jan Skaloud, Martin Rehak

This article discusses the problem of time registration between navigation and imaging components on Micro Aerial Vehicles (MAVs). Accurate mapping with MAVs is gaining importance in applications such as corridor mapping, road and pipeline inspections or m ...

Elsevier2017

Learning Aerial Image Segmentation from Online Maps

Thomas Hofmann, Aurélien Lucchi, Martin Jaggi, Jan Dirk Wegner

This study deals with semantic segmentation of high-resolution (aerial) images where a semantic class label is assigned to each pixel via supervised classification as a basis for automatic map generation. Recently, deep convolutional neural networks (CNNs) ...

Institute of Electrical and Electronics Engineers2017

Accurate Optical Target Pose Determination For Applications In Aerial Photogrammetry

Davide Antonio Cucci

We propose a new design for an optical coded target based on concentric circles and a position and orientation determination algorithm optimized for high distances compared to the target size. If two ellipses are fitted on the edge pixels corresponding to ...

2016

Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response

Stéphane Joost, Devis Tuia, Patrick Meier, Matthew Josef Parkan, Julien Briant, Muhammad Imran, Carlos Castillo

Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important role in disaster response. Unlike satellite imagery, aerial imagery can be captured and processed within hours rather than days. In addition, the spatial resol ...

Mary Ann Liebert, Inc2016

Coherence management in lithography printing systems

Hans Peter Herzig, Toralf Scharf, Johana Bernasconi

In proximity lithography, interference and diffraction effects arise when printing small features because of the proximity gap. Different techniques are used in order to control and take advantage of theses effects. In this paper, the focus is set on the M ...

Spie-Int Soc Optical Engineering2016

Multiscale Centerline Detection

Pascal Fua, Vincent Lepetit, Engin Türetken, Amos Sironi

Finding the centerline and estimating the radius of linear structures is a critical first step in many applications, ranging from road delineation in 2D aerial images to modeling blood vessels, lung bronchi, and dendritic arbors in 3D biomedical image stac ...

Institute of Electrical and Electronics Engineers2016

Applicability Of New Approaches Of Sensor Orientation To Micro Aerial Vehicles

Jan Skaloud, Martin Rehak

This study highlights the benefits of precise aerial position and attitude control in the context of mapping with Micro Aerial Vehicles (MAVs). Accurate mapping with MAVs is gaining importance in applications such as corridor mapping, road and pipeline ins ...

Copernicus Gesellschaft Mbh2016

A Contextual Analysis of Land-Use and Vegetation Changes in Two Wooded Pastures in the Swiss Jura Mountains

Joël Chételat, Michaël Kalbermatten, Alexandre Buttler, François Gillet, Thomas Spiegelberger, Kathryn Lannas, Alexander Ludwig Johannes Peringer

This study examines the effects of land-use policies and natural events on the evolution of two wooded pastures in the Jura Mountains in Switzerland between 1934 and 2000. The socioeconomic context and the local conditions were seen as major driving forces ...

Resilience Alliance2013

Analyse et exploitation des données de LIDAR aéroportés pour la caractérisation des milieux boisés de la Suisse

Gilles Gachet

Forest ecosystems show diverse and evolving structures. Accurate descriptions and a good knowledge of these environments are therefore a real challenge. Existing forest cover investigation methods are mostly laborious, hard to replicate and usually based o ...

EPFL2009

A Generative Model for True Orthorectification

Pascal Fua, Christoph Strecha

Orthographic images compose an efficient and economic way to represent aerial images. This kind of information allows to measure two-dimensional objects and relate these to Geographic Information Systems. This paper deals with the computation of a true ort ...

2008

IA Generative Model for True Orthorectification

Pascal Fua, Christoph Strecha

Orthographic images compose an efficient and economic way to represent aerial images. This kind of information allows to measure two-dimensional objects and relate these to Geographic Information Systems. This paper deals with the computation of a true ort ...

2008

Semi-automatic Use of High Resolution Images and Digital Elevation Models for Counting and Identification of Forest Trees

Claudio Magalhaes Carneiro

This paper presents a semi-automatic and systematic computational approach intending to count and localize different species of trees in zones of dense forest. Comparative analysis of the application of multi-spectral high resolution images and aerial LIDA ...

2007

Multi-agent modelling of electricity markets : transaction processes and generation capacity expansion under competition

Abdelaziz Lahlou

This thesis describes the development of three conceptual models built to serve as decision support tools in liberalised electricity markets. The introduction of competition, higher uncertainty and decentralised planning requires new planning and analysis ...

EPFL2007