Results 51 to 60 of about 1,146,451 (358)

Spatiotemporal Data Fusion for Precipitation Nowcasting

, 2018
Precipitation nowcasting using neural networks and ground-based radars has become one of the key components of modern weather prediction services, but it is limited to the regions covered by ground-based radars. Truly global precipitation nowcasting requires fusion of radar and satellite observations.
Ivashkin, Vladimir, Lebedev, Vadim
openaire   +2 more sources

Reciprocal Spatiotemporally Controlled Apoptosis Regulates Wolffian Duct Cloaca Fusion [PDF]

Journal of the American Society of Nephrology, 2018
The epithelial Wolffian duct (WD) inserts into the cloaca (primitive bladder) before metanephric kidney development, thereby establishing the initial plumbing for eventual joining of the ureters and bladder. Defects in this process cause common anomalies in the spectrum of congenital anomalies of the kidney and urinary tract (CAKUT)
Masato, Hoshi, Antoine, Reginensi, Matthew S, Joens, James A J, Fitzpatrick, Helen, McNeill, Sanjay, Jain   +5 more
openaire   +2 more sources

MCBAM-GAN: The Gan Spatiotemporal Fusion Model Based on Multiscale and CBAM for Remote Sensing Images

Remote Sensing, 2023
Due to the limitations of current technology and budget, as well as the influence of various factors, obtaining remote sensing images with high-temporal and high-spatial (HTHS) resolution simultaneously is a major challenge. In this paper, we propose the
Hui Liu, G. Yang, Fengliang Deng, Yurong Qian, Yingying Fan   +4 more
semanticscholar   +1 more source

A Rigorously-Weighted Spatiotemporal Fusion Model with Uncertainty Analysis

Remote Sensing, 2017
Interest has been growing with regard to the use of remote sensing data characterized by a fine spatial resolution and frequent coverage for the monitoring of land surface dynamics.
Jing Wang, Bo Huang
doaj   +1 more source

Accelerate Spatiotemporal Fusion For Large-Scale Applications

International Journal of Applied Earth Observation and Geoinformation
Spatiotemporal fusion (STF) can provide dense satellite image series with high spatial resolution. However, most spatiotemporal fusion approaches are time-consuming, which seriously limits their applicability in large-scale areas. To address this problem, some efforts have been paid for accelerating STF approaches with help of graphics processing units
Yunfei Li, Liangli Meng, Huaizhang Sun, Qian Shi, Jun Li, Yaotong Cai   +5 more
openaire   +2 more sources

Spatiotemporal Registration for Multi-sensor Fusion Systems

DEStech Transactions on Computer Science and Engineering, 2017
A method of online sensor fusion with spatially and temporally misaligned sensors is considered in this paper. A spatiotemporal registration mode is developed for sensor alignment, and augment the target state vector with spatiotemporal bias. An unscented Kalman filter (UKF) is used to fuse and register these sensors, then the target state estimation ...
Shi-zhe BU, Gong-jian ZHOU
openaire   +2 more sources

Comparative Analysis and Fusion of Spatiotemporal Information for Footstep Recognition [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013
Footstep recognition is a relatively new biometric which aims to discriminate people using walking characteristics extracted from floor-based sensors. This paper reports for the first time a comparative assessment of the spatiotemporal information contained in the footstep signals for person recognition.
Vera Rodríguez, Rubén, Mason, John S. D., Fiérrez Aguilar, Julián, Ortega García, Javier   +3 more
openaire   +5 more sources

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Convolutional Neural Network on Three Orthogonal Planes for Dynamic Texture Classification [PDF]

, 2017
Dynamic Textures (DTs) are sequences of images of moving scenes that exhibit certain stationarity properties in time such as smoke, vegetation and fire. The analysis of DT is important for recognition, segmentation, synthesis or retrieval for a range of ...
Andrearczyk, Vincent, Whelan, Paul F.
core   +2 more sources

Multisensory Fusion for Unsupervised Spatiotemporal Speaker Diarization

Sensors
Speaker diarization consists of answering the question of “who spoke when” in audio recordings. In meeting scenarios, the task of labeling audio with the corresponding speaker identities can be further assisted by the exploitation of spatial features.
Paris Xylogiannis, Nikolaos Vryzas, Lazaros Vrysis, Charalampos Dimoulas   +3 more
openaire   +3 more sources