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Since the emergence of sensor data streams, increasing amounts of observations have to be transmitted, stored and retrieved. Performing these tasks at the granularity of single points would mean an in...
We present a mathematical model for a UAV-based, multi-sensor data integration. As a background, we first discuss the design and the implementation of a low-cost civilian UAV system, including its fie...
Roads and railways are founded on earthwork structures such as embankments, which can be susceptible to slope instability and failure, with serious economic and safety implications. Existing approach...
Path radiance due to aerosols plays an important role over satellite derived reflectance due to higher aerosol optical depth and their seasonal variations. In addition, satellite data from high-resolu...
Atmospheric pollution was previously considered as a 'Brown Cloud’ phenomenon restricted to industrialized urban regions. Studies in field stations and satellite observations made since the last decad...
The demand of spatial data has been an explosive growth in the past 20 years. This demand has numerous sources and takes many forms, but it is an ever-increasing thirst for spatial data, which is mor...
Forest canopy height is an important input for ecosystem and highly correlated with aboveground biomass at the landscape scale. In this paper, we make efforts to extracte the maximum canopy height usi...
A methodology has been developed for modeling and mapping various aerosol parameters using the IRS-P4 Ocean Color Monitoring [OCM] multi-spectral data having wide swath of 1420 km and high (360 m) sp...
This Paper describes a hybrid system on 3D city modeling, data management and visualization component for 3D GIS infrastructure. The framework obtained high efficiency, without compromising the detai...
This is an approach creating a three dimensional virtual world by using high resolution multi-sensor data.The throne hall of Neuschwanstein castle was visualized three dimensional with the help of mul...
This paper reports results of an experiment LRVE (Leaf Area Index Retrieval and Validation Experiment) that was conducted over agricultural areas of Central India during winter season of 2001-02, ai...
Abstract— In this paper, an unscented Kalman filter (UKF) is proposed in an integrated design frameworks to utilize multi-sensor data fusion techniques for process fault monitoring. The multi-sensor d...
While the available, eventually multi-source data from remote sensing systems yield the advantage of producing more features, the crucial point in the scene interpretation workflow is still the big, ...
This paper presents an analysis on automatic image matching for DSM generation with ADS40 airborne push-broom sensor data.ADS40, produced by Leica Geosystems GIS & Mapping (LGGM), offers on a single c...
The aim of this paper is to introduce a novel technique of data integration between two different data sets, i.e. laser scanned RGB point cloud and oblique imageries derived 3D model, to create a 3D m...

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