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Terrestrial imagery found in public databases is an alternative and complementary data source for environmental studies. Compared to usual data source, such as airborne images, terrestrial pictures may have higher temporal and spatial resolutions. They are ...

In this paper, we propose a methodology for the estimation of the pose of oblique landscape images. Knowledge about the pose is needed for using such images in augmented reality applications or to allow projection of pixels in a GIS for spatial analysis. W ...

We propose a robust method for registering high oblique images of landscapes. Typically, an input image can be registered by matching it against a set of registered images of the same location. While this has been shown to work very well for images of popu ...

This paper presents a methodology to compute an innovative density indicator of spatial events. The methodology is based on a modified Kernel Density Estimator (KDE) that operates along road networks, and named Network based Kernel Density Estimator (NetKD ...

This paper presents a methodology that use volunteered geographic information (VGI), cyclist GPS tracking and Open Street Map network, with network based kernel density estimation. It investigates optimal location for cycle paths and lanes development. Rec ...

Timothée Produit

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Registration of single landscape photographs with 3D landscape models

Pose estimation of landscape images using DEM and orthophotos

Pose Estimation of Web-Shared Landscape Pictures

A Network Based Kernel Density Estimator Applied to Barcelona Economic Activities

Network based Kernel Density Estimation for Cycling Facilities Optimal Location Applied to Ljubljana

Picture density in the space of geographic features: mapping landscape attractiveness

An open tool to register landscape oblique images and generate their synthetic models