The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a novel online capable method for simultaneous estimation of human motion in terms of segment orientations and positions along with sensor-to-segment calibration parameters from inertial sensors attached to the body. In order to solve this ill-posed estimation problem, state-of-the-art motion, measurement and biomechanical models are combined with new stochastic equations and priors...
We look at the task of estimating the parameters of a geometric constraint from noisy points in 2D. The classical approach of minimizing the Euclidean distance error between points and constraint generally yields biased estimates for nonlinear constraints and higher noise levels. To deal with this issue, the expected distribution of the distance error can be explicitly incorporated in the estimator...
Crop biomass plays an important role in food security and global carbon cycle. Recently, remote sensing technology has been proven to be an effective tool for biomass estimation with fewer field surveys. In this study, we try to map summer maize biomass using SPOT-5 (Systeme Probatoire d'Observation de la Terre-5) and MODIS (Moderate Resolution Imaging Spectroradiometer) MOD09Q1/A1 data. First, the...
Evapotranspiration (ET) is the combination process of the surface evaporation and plant transpiration which occur simultaneously, and it links the terrestrial water cycles, carbon cycles and energy exchange. In this study, based on the observations from 242 global FLUXnet sites, with daily average temperature, relative humidity, wind speed, incident solar radiation, NDVI and observed ET as input data,...
This study explored the use of plant images to perform fractal analysis of plant architecture and growth to estimate above ground biomass. Fractal analysis of plant architectures was performed to quantify and describe functional obligations of plants. The methods used for this study included a) the assimilation of various plant species' images, b) computation of fractal dimensions and derived measures...
The time variation of phase height from interferometric SAR (InSAR) from TanDEM-X is shown for 3 years, in Tapajos National Forest, Brazil. Its RMS, for one secondary stand, about a model linear in time is 0.5 m. This RMS is compared to that for 30 stands at one epoch. The single-epoch RMS for a model linear in mean field height is 2.2 m. It is suggested that the improved performance of the temporal...
This paper formulates an optimality criterion for the selection of synchrophasor signals to be used in ambient mode estimators. This criterion, which is associated to each measured signal and each dominant mode, is defined as the asymptotic variance of the corresponding estimated mode damping ratio. The value of the criterion is computed directly from an estimated AutoRegressive Moving Average (ARMA)...
Potential for synergetic use of Sentinel- 1 and Sentinel-2 for mapping biomass of Mediterranean shrublands is investigated. As preliminary research, backscatter and its ratio from Sentinel-1 (C-band dual polarization SAR), and NDVI from Sentinel-2 (13 bands multi-spectral data) are assessed by using the NDVIR biomass model. Then the fusion biomass model is proposed based on shrub volume formations...
Many vegetation indices have been developed for the estimation of green biomass over the last three decades. The Normalized Vegetation Index is the most well-known index; however, it has a saturation problem at moderate to high vegetation densities. The red-edge region (700–740nm) has been introduced to increase sensitivity at these moderate to high vegetation densities. We propose a new vegetation...
Forest above ground biomass (AGB) retrieval by TomoSAR technology has been preliminary studied over the last two years. Recent experiments have demonstrated that the backscattered power in HV channel at 30-m layer have strong correlation with the forest AGB, and be successfully used to build the estimation model. However, much progress remains necessary to make the best of the vertical distribution...
Remote sensing of sun-induced chlorophyll fluorescence (SIF) is a novel optical tool for assessment of terrestrial photosynthesis or gross primary production (GPP). Along with the breakthroughs of global retrievals of SIF from space-borne sensors, exploitation of SIF in improving the representation of photosynthesis and its role in Earth System models became a very relevant and active field. Recent...
When the exact mathematical model is not known or too difficult to handle, fuzzy signatures are useful tools in modeling and analysis of complex systems. In these cases the input values naturally have uncertainties, due to lack of knowledge or human activities. These built-in uncertainties influence the final decision about the system. In this paper we deal with the issue when the input parameters...
This paper proposed a modified Water Cloud Model (MWCM) for rice variable estimation during the whole growth season with eight RADARSAT-2 quad-pol SAR images. The improvements achieved with the MWCM include considering the heterogeneity of water content of the rice canopy in different directions and different phenologies, and applying the scattering components from an improved polarimetric decomposition...
Stem diameter distribution is a crucial forest inventory variable in operational forest management. Compared to ground based forest mensuration (e.g., diameter at breast height (DBH)), airborne laser scanning (ALS) offers a cost effective alternative for modelling forest inventory variables. The objective of this study is to determine the impact of the size and number of sample plots on modelling...
In this paper it is shown that there are strong statistical evidences towards the presence of long memory components in three American macroeconomic time series (Output Gap, M1 Quantity of Money and Real Interest Rates). Moreover, in this paper is presented two Fractionally Integrated Vector Autoregression (FIVAR) models with the fractional difference coefficients estimated using two different procedures...
Atmospheric correction is a basic task of quantitative remote sensing in order to obtain accurate bio/geophysical products for Earth observation purposes. The effect of atmospheric correction directly determines the subsequent quantitative remote sensing quality of parameters inversion and the accuracy of classification. General flow of traditional atmospheric correction consists of two major steps:...
We consider the problem of estimating the intensity map of a spatially random phenomenon over a geographical area observed by a sensor network. The spatial phenomenon of interest is modeled using a Gaussian random field specified by its nonlinear mean and covariance functions. Our proposed algorithm includes two stages: a novel greedy sparse recovery algorithm to estimate the parameters of the mean...
A novel model of energy expenditure trend for calorie tracker application was derived in this study. The model provides a solution for consumed calorie estimation in repetitive short-term movements of children's daily life. The model was obtained from non-linear piece-wise curve fitting of children's real exercise data. It shows the feasibility to predict the calorie consumption in short-term movement...
In this paper we have considered java based modules as a dataset for software quality prediction. The properties used are class, object, inheritance and dynamic behavior. The data modularity considered for this work is 1–10 and 11–20. First the data is arranged in the group and then it is tested based on chi-square test. Then we have calculated F-measure (FM), Power (PO) and Odd Ratio (OR) and find...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.