Results 51 to 60 of about 42,043 (166)
Outlier Removal in 2D Leap Frog Algorithm [PDF]
, 2012 In this paper a 2D Leap Frog Algorithm is applied to solve the so-called noisy Photometric Stereo problem. In 3-source Photometric Stereo (noiseless or noisy) an ideal unknown Lambertian surface is illuminated from distant light-source directions (their directions are assumed to be linearly independent).
Kozera, Ryszard, Tchórzewski, Jacek
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Identification of Statistically Homogeneous Pixels Based on One-Sample Test
Remote Sensing, 2017 Statistically homogeneous pixels (SHP) play a crucial role in synthetic aperture radar (SAR) analysis. In past studies, various two-sample tests were applied on multitemporal SAR data stacks under the assumption of having stationary backscattering ...
Keng-Fan Lin, Daniele Perissin
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Remote Sensing, 2018 Geospatial object detection is a fundamental but challenging problem in the remote sensing community. Although deep learning has shown its power in extracting discriminative features, there is still room for improvement in its detection performance ...
Xin Wu +4 more
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Two-View Geometry Estimation Using RANSAC With Locality Preserving Constraint
IEEE Access, 2020 The random sample consensus (RANSAC) based algorithm is widely used in estimating the two-view geometry from image point correspondences. However, it often becomes extremely slow when the data is contaminated by a large percentage of incorrect matches ...
Gang Wang +5 more
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SensorsThe stratum corneum (SC) forms the outermost layer of the skin, playing a critical role in preventing water loss and protecting against external biological and chemical threats.
Krzysztof Banas +6 more
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Compact CMOS circuit for outlier removal
Electronics Letters, 1996 A CMOS chip that averages an array of analogue inputs and removes outlying inputs from the calculation of the output is presented. Implemented in analogue VLSI, these circuits perform the outlier-based averaging massively in parallel, while using only 13 transistors per analogue input in the array.
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TADILOF: Time Aware Density-Based Incremental Local Outlier Detection in Data Streams
Sensors, 2020 Outlier detection in data streams is crucial to successful data mining. However, this task is made increasingly difficult by the enormous growth in the quantity of data generated by the expansion of Internet of Things (IoT).
Jen-Wei Huang +2 more
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Optimal outlier removal in high-dimensional spaces
Journal of Computer and System Sciences, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dunagan, John, Vempala, Santosh
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SensorsDuring the process of seabed terrain exploration using a multi-beam echo system, it is inevitable to obtain a sounding set containing anomalous points. Conventional methods for eliminating outliers are unable to reduce the disruption caused by outliers ...
Ping Zhou, Jifa Chen, Shengping Wang
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Time series outlier removal and imputing methods based on Colombian weather stations data. [PDF]
Environ Sci Pollut Res Int, 2023 Parra-Plazas J +2 more
europepmc +1 more source