[1] Estimation of parameters for land-surface models, along with their corresponding uncertainties, relies on the input data for the atmospheric forcing variables including atmospheric pressure, temperature, humidity, wind speed, precipitation, and incoming shortwave and longwave radiation. Most studies assume that forcing data are accurate and contain no random or systematic observational erro...

Motion estimation has traditionally been approached either from a pure discrete point of view, using multi-view tensors, or from a pure continuous point of view, using optical-flow-based techniques. This paper builds upon the recent developments of hybrid matching constraints for motion estimation. These hybrid matching constraints are based on both corresponding feature points and the motion o...

The research reported in this paper is concerned with assessing the usefulness of reinforcment learning (RL) for on-line calibration of parameters in evolutionary algorithms (EA). We are running an RL procedure and the EA simultaneously and the RL is changing the EA parameters on-the-fly. We evaluate this approach experimentally on a range of fitness landscapes with varying degrees of ruggednes...

In this paper we present analysis and calibration techniques that exploit knowledge about a multi agent society in order to calibrate the system parameters of a corresponding society simulation model. The techniques address typical problems of multi agent simulation calibration like the vast amount of parameters that need to be calibrated, the complex parameter dependencies due to interactions ...

Abstract Application of numerical models is useful in coastal sediment studies; however, it is essential to calibrate the models in an appropriate method. Empirical equations, historical satellite imagery and other coastal data and evidence are proposed for the models calibration in the vicinity of coastal indicators around the site of projects. In this study, coastal sediment process of K...

− Recently, a novel approach for the estimation of the residual error parameters of a calibrated vector network analyzer has been proposed. The method is based on a reflection measurement employing a high precision airline terminated by a short. From this measurement the complex valued residual error parameters are calculated utilizing a sophisticated data analysis scheme. In this work the unce...

The light field camera is useful for computer graphics and vision applications. Calibration is an essential step for these applications. After calibration, we can rectify the captured image by using the calibrated camera parameters. However, the large camera array calibration method, which assumes that all cameras are on the same plane, ignores the orientation and intrinsic parameters. The mult...

In this paper we show how an active binocular head the IIS head can be easily calibrated with very high accuracy Our calibration method can also be applied to many other binocular heads In addition to the proposal and demonstration of a four stage calibration process there are three major contributions in this paper First we propose a MFL Motorized Focus Lens camera model which assumes constant...

PRISM carried at ALOS satellite is expected to generate worldwide topographic data in respects of its high resolution and stereoscopic observation. The software for generating Digital Surface Model was developed for the purpose of equipping the ground system which produces DSM semi-routinely in Earth Observation Research Center / Japan Aerospace Exploration Agency (EORC / JAXA). First, the geom...