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GLOBAL UNCERTAINTY IN EPIPOLAR GEOMETRY VIA FULLY AND PARTIALLY DATA-DRIVEN SAMPLING
Relative orientation Stucture from Motion Epipolar Geometry
2015/8/14
In this paper we explore the relative efficiency of various data-driven sampling techniques for estimating the epipolar geometry and its global uncertainty. We explore standard fully data-driven...
CROP AREA ESTIMATION USING REMOTE SENSING ON TWO-STAGE STRATIFIED SAMPLING
crop acreage remote sensing stratified sampling
2015/7/29
In this paper, we analyses problems that remote sensing technique met in China. And provide a new methodology on stratified
sampling technique. During the stratification procedure, physical factors,...
Study of Sampling Methods for Accuracy Assessment of Classified Remotely Sensed Data
Remote Sensing Land cover Classification
2015/7/9
Accuracy assessment is an important step in the process of analyzing remote sensing data. It determines the value of the resulting
data to a particular user, i.e. the information value. Remote sensin...
Software-based Multipath Mitigation: Sampling for Multipath Invariance
Software-based Multipath Mitigation Sampling Multipath Invariance
2015/6/29
Multipath potentially introduces a significant bias error into GPS code phase positioning solutions. That error is dependent on the amplitude, delay, phase, and phase rate of the multipath with respec...
“People Hearing Without Listening”:An Introduction To Compressive Sampling
People Hearing Without Listening Compressive Sampling
2015/6/17
The conventional approach to sampling signals or images follows the celebrated Shannon sampling theorem: the sampling rate must be at least twice the maximum frequency present in the signal (the so-ca...
A single-photon sampling architecture for solid-state imaging sensors
A single-photon sampling architecture solid-state imaging sensors
2015/6/17
Advances in solid-state technology have enabled the development of silicon photomultiplier sensor arrays capable of sensing individual photons. Combined with high-frequency time-todigital converters (...
SAMPLING OF BIDIRECTIONAL REFLECTANCE FROM MULTIANGULAR HIGH RESOLUTION AIRBORNE IMAGERY
Acquisition Sampling DEM/DTM Aerial High resolution Multispectral
2015/5/29
The present investigation describes a method for sampling bidirectional reflectance information from multiangular airborne images.The method uses high resolution surface models in the determination of...
Landscape Indices Based Two-Rank Sampling for Land Cover Validation
Validation Globalland 30 Sampling Landscape heterogeneity Landscape indices Web-based
2014/7/23
A web-based validation is necessary for assessing the accuracy of Globalland30. As one of the obstacles in validation of global land cover data, it is a challenge to effectively select a reasonable sa...
Guidance on Passive Sampling Methods to Improve Management of Contaminated Sediments
Guidance Passive Sampling Methods Improve Management Contaminated Sediments
2014/3/25
Guidance on Passive Sampling Methods to Improve Management of Contaminated Sediments。
APPLICATION OF SPATIAL MODELLING APPROACHES, SAMPLING STRATEGIES AND 3S TECHNOLOGY WITHIN AN ECOLGOCIAL FRAMWORK
Modelling Statistics Experimental Technology Ecology Forestry
2014/4/30
How to effectively describe ecological patterns in nature over broader spatial scales and build a modeling ecological framework has become an important issue in ecological research. We test four model...
OPTIMIZATION OF DECISION-MAKING FOR SPATIAL SAMPLING IN THE NORTH CHINA PLAIN, BASED ON REMOTE-SENSING A PRIORI KNOWLEDGE
Agricultural Spatial Sampling Remote Sensing a Priori Knowledge Spatial Structure Characteristics RIP(s)/RIV(s) Sampling efficiency
2014/4/29
In this paper, the MODIS remote sensing data, featured with low-cost, high-timely and moderate/low spatial resolutions, in the North China Plain (NCP) as a study region were firstly used to carry out ...
Measuring and Modeling Atmospheric Arsenic Pollutants, Total As, As(III), and As(V), at Five Characteristic Sampling Sites
TSP Dry deposition Model Arsenic (As) As(III) As(V)
2016/3/28
This investigation determines ambient air arsenic (As), As(III), and As(V) concentrations in total suspended particulates
(TSP) and dry deposition. Calculated/measured dry deposition flux ratios of a...
Interval importance sampling method for finite element-based structural reliability assessment under parameter uncertainties
Finite element method Importance sampling Imprecise probability Interval analysis Interval uncertainty Probability box Simulation Structural reliability Statistical uncertainty
2012/4/26
Parameters of a probabilistic model often cannot be determined precisely on the basis of limited data. In this case the unknown parameters can be introduced as intervals, and the imprecise probability...
Passive Sampling of Ambient Nitrogen Dioxide Using Local Tubes
Nitrogen Dioxide Passive Sampler Diffusive Sampling
2013/3/11
Traditional active and automated sampling of nitrogen dioxide (NO2) monitoring techniques require expensive instrumentation which is not easily adapted for large scale monitoring by resource limited c...
Deterministic Sampling Algorithms for Network Design
Approximation algorithms Derandomization Network design
2012/12/3
For several NP-hard network design problems, the best known approximation algorithms are remarkably simple randomized algorithms called SampleAugment algorithms in Gupta et al. (J. ACM 54(3):11, 2007)...