Results 31 to 40 of about 1,631,931 (302)
AN IMPROVED SYNTHETIC APERTURE RADAR IMAGE DENOISING METHOD BASED ON BLOCK-MATCHING AND 3D FILTERING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Block-matching and 3D filtering (BM3D) are used to reduce the multiplicative coherent speckle noise of Synthetic Aperture Radar (SAR) images, which may lead to the loss of image details.
X. Liu, X. Liu, X. Lu, L. Ma, L. Ma
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Preliminary refinement of rotation parameters of asteroids based on photogrammetric processing of on-orbit remote sensing images [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesIn recent years, asteroid exploration has become an important research direction in the field of deep space exploration. The weak gravitational environment of asteroids, as well as their complex topographic, geomorphic, and dynamic characteristics, pose ...
Z. Peng +7 more
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spatio-temporal-infection_infected
, 2023 processed anndata file of the spatio-temporal single-cell atlas of the Plasmodium liver stage (Afriat et al., Nature 611, 563–569 (2022)) as processed here to include infected and uninfected hepatocytes from injected mice, as well as hepatocytes from ...
Zoe Piran (14645438)
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Spatio-temporal multi-granularity : modelling and implementation challenges [PDF]
, 2009 Multiple spatial and temporal granularities are essential to extract significant knowledge from datasets at different levels of detail: they enable to zoom-in and zoom-out a dataset, enhancing the data modelling flexibility and being instrumental to ...
Elena Camossi +5 more
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, 2021 Additonal files for training the models presented in https://github.com/VDelv/Spatio-Temporal-EEG-Analysis./!\ The signals are adapted version of two datasets.
Victor Delvigne (9646544)
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Banded Spatio-Temporal Autoregressions [PDF]
SSRN Electronic Journal, 2018 37 pages, 4 ...
Gao, Zhaoxing +3 more
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Measuring the structural similarity among XML documents and DTDs [PDF]
, 2009 In applications involving spatio-temporal modelling, granularities of data may have to adapt according to the evolving semantics and significance of data.
Elena Camossi +7 more
core +1 more source
Spatio-temporal join selectivity [PDF]
Information Systems, 2006 Given two sets S1, S2 of moving objects, a future timestamp tq, and a distance threshold d, a spatio-temporal join retrieves all pairs of objects that are within distance d at tq. The selectivity of a join equals the number of retrieved pairs divided by the cardinality of the Cartesian product S1 × S2.
Jimeng Sun 0001 +3 more
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Interoperability in Earth Observation deep learning: A cross-language and cross-framework evaluation
Applied Computing and GeosciencesThe Open Neural Network Exchange (ONNX) is widely promoted as a framework-independent solution for deep learning model portability, but systematic evidence of its reliability across languages, frameworks, and deployment environments remains limited for ...
Brian Pondi +2 more
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Spatio-Temporal Data Construction [PDF]
ISPRS International Journal of Geo-Information, 2013 On the route to a spatio-temporal geoscience information system, an appropriate data model for geo-objects in space and time has been developed. In this model, geo-objects are represented as sequences of geometries and properties with continuous evolution in each time interval.
openaire +2 more sources