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This article demonstrates utilization of large scale surface models with small spatial resolution and high accuracy, acquired from Unmanned Aerial Vehicle scanning, for visibility analyses. The import...
In this paper a method for building detection in aerial images based on variational inference of logistic regression is proposed. It consists of three steps. In order to characterize the appearances o...
GeoRaySAR, an automated SAR simulator developed at DLR, identifies buildings in high resolution SAR data by utilizing geometric knowledge extracted from digital surface models (DSMs). Hitherto, the si...
Photogrammetric workflows for aerial images have improved over the last years in a typically black-box fashion. Most parameters for building dense point cloud are either excessive or not explained and...
In this research different DSMs from different sources have been merged. The merging is based on a probabilistic model using a Bayesian Approach. The implemented data have been sourced from very high ...
In this study, first results of retrieving plant heights of maize fields from multitemporal TanDEM-X images are shown. Three TanDEM-X dual polarization spotlight acquisitions were taken over a rural a...
Remote sensing of crop biomass is important in regard to precision agriculture, which aims to improve nutrient use efficiency and to develop better stress and disease management. In this study, multi-...
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...
The Chair of Photogrammetry and Remote Sensing, ETH Zurich is one of the contract partners of the project „Evaluierung digitaler photogrammetrischer Luftbildkamerasysteme“ which was initiated ...
Over the last couple of years more and more analogue airborne cameras were replaced by digital cameras. Digitally recorded image data show significant advantages to film based data. Digital aerial pho...
A method for automatic updating of building data bases from Digital Surface Models (DSM) and a normalised difference vegetation index is evaluated. The DSM can be generated from Airborne Laserscanner ...
The indirect estimation of leaf area index (LAI) in large spatial scales is crucial for several environmental and agricultural applications. To this end, in this paper, we compare and evaluate LAI est...
This paper presents a method for semi-automatic 3D positioning of tree tops that can be used for obtaining tree maps of the photovisible trees and tree heights. Such spatio-temporal, detailed informat...
This paper describes an algorithm in order to derive DTMs (Digital Terrain Models) from correlation DSMs (Digital Surface Models) and above-ground (buildings and vegetation) masks in dense urban areas...
This paper presents a method for semi-automatic 3D positioning of tree tops that can be used for obtaining tree maps of the photovisible trees and tree heights. Such spatio-temporal, detailed informat...

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