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Nowadays, a huge archive of data from different satellite sensors is available for diverse objectives. While every new sensor provides data with ever higher resolution and more sophisticated special p...
Crime scene documentation is a fundamental task which has to be undertaken in a fast, accurate and reliable way, highlighting evidence which can be further used for ensuring justice for victims and fo...
Publicly available benchmark data and metric evaluation approaches have been instrumental in enabling research to advance state of the art methods for remote sensing applications in urban 3D modeling....
We consider the problem of the semantic classification of 3D LiDAR point clouds obtained from urban scenes when the training set is limited. We propose a non-parametric segmentation model for urban sc...
In this paper we explore semantic segmentation of man-made scenes using fully connected conditional random field (CRF). Images of man-made scenes display strong contextual dependencies in the spatial ...
A new method for high resolution surface reconstruction by multi-image matching in object space is formulated with regard to the integration of a general 3-d surface model in object space, because com...
This paper describes the investigations carried out at ETH Zurich on the very-high resolution optical satellite sensor WorldView-1. The dataset includes a stereopair acquired in November 2007 over Mo...
High resolution stereo satellite imagery is well suited for the creation of digital surface models (DSM). A system for highly automated and operational DSM and orthoimage generation based on CARTOSAT...
Disasters create extremely dynamic situations which have to be handled by emergency operations centers. For fulfilling their task they rely on up-to-date information from on-site units and passer-bys....
Object detection and tracking is the basis for many applications in surveillance and activity recognition. Unfortunately the utilized cameras for the observation of wide scenes are mostly not sufficie...
We investigate Discriminative Random Fields (DRF) which provide a principled approach for combining local discriminative classifiers that allow the use of arbitrary overlapping features, with ad...
In this contribution, we present a method for direct linear estimation of multiple homographies and optimization of estimation results by enforcing topological constraints by means of connected compon...
We present an application of 3D canopy modelling for assessing the structural accuracy of complex 3D structural models of Sitka spruce. Such models can be used to simulate canopy reflectance at the l...
The acquisition of 3D city and landscape models has been a topic of major interest within the photogrammetric community and a number of algorithms became available both for the automatic and semiauto...
For many applications (e.g., disaster management, precision farming), it is required to monitor events using multi-date satellite imagery acquired over the same area. This requirement can be best met...

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