Results 21 to 30 of about 24,705,727 (296)

DCPLD-Net: A diffusion coupled convolution neural network for real-time power transmission lines detection from UAV-Borne LiDAR data

International Journal of Applied Earth Observations and Geoinformation, 2022
The stable and reliable supply of electric power is strongly related to the normal social production. In recent years, power transmission lines inspection based on remote sensing methods has made great progress, especially using the UAV-borne LiDAR ...
Chi Chen, Ang Jin, Bisheng Yang, Ruiqi Ma, Shangzhe Sun, Zhiye Wang, Zeliang Zong, Fei Zhang   +7 more
doaj   +1 more source

Spatio-Temporal Data Augmentation for Visual Surveillance [PDF]

IEEE Access, 2021
22 pages, 17 ...
Jae-Yeul Kim, Jong-Eun Ha
openaire   +5 more sources

On Robustness for Spatio-Temporal Data

Mathematics, 2022
The spatio-temporal variogram is an important factor in spatio-temporal prediction through kriging, especially in fields such as environmental sustainability or climate change, where spatio-temporal data analysis is based on this concept. However, the traditional spatio-temporal variogram estimator, which is commonly employed for these purposes, is ...
openaire   +3 more sources

Querying Multigranular Spatio-temporal Objects [PDF]

, 2008
The integrated management of both spatial and temporal components of information is crucial in order to extract significant knowledge from datasets concerning phenomena of interest to a large variety of applications. Moreover, multigranularity, i.e., the
Elena Camossi, Camossi, Elena, Bertino, Elisa, Michela Bertolotto, Elisa Bertino, Bertolotto, Michela   +5 more
core   +1 more source

Mining Spatio-temporal Data at Different Levels of Detail [PDF]

, 2008
Presented at the 11th AGILE International Conference on Geographic Information Science (AGILE 2008), Girona, Spain, 5-8 May 2008In this paper we propose a methodology for mining very large spatio-temporal datasets.
Elena Camossi, Camossi, Elena, Michela Bertolotto, Tahar Kechadi, Kechadi, Tahar, Bertolotto, Michela   +5 more
core   +1 more source

Multigranular spatio-temporal models: implementation challenges [PDF]

, 2008
Multiple granularities provide an essential support for extracting significant knowledge from spatio-temporal datasets at different levels of details.
Elena Camossi, Camossi, Elena, Bertino, Elisa, Michela Bertolotto, Elisa Bertino, Bertolotto, Michela   +5 more
core   +1 more source

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 Sciences
In 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, Z. Peng, X. Geng, X. Geng, J. Zhang, J. Zhang, Y. Wang, Y. Wang   +7 more
doaj   +1 more source

Multi-Source Precipitation Data Merging for Heavy Rainfall Events Based on Cokriging and Machine Learning Methods

Remote Sensing, 2022
Gridded precipitation data with a high spatiotemporal resolution are of great importance for studies in hydrology, meteorology, and agronomy. Observational data from meteorological stations cannot accurately reflect the spatiotemporal distribution and ...
Junmin Zhang, Jianhui Xu, Xiaoai Dai, Huihua Ruan, Xulong Liu, Wenlong Jing   +5 more
doaj   +1 more source

Time-Series SBAS Pixel Offset Tracking Method for Monitoring Three-Dimensional Deformation in a Mining Area

IEEE Access, 2020
The ground surface deformation caused by mining damages the ecological environment and severely hinder economic development in the mining area.
Jilei Huang, Yang Bai, Shaogang Lei, Kazhong Deng   +3 more
doaj   +1 more source

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, Bertino, Elisa, Camossi, Elena, Giovanna Guerrini, Elisa Bertino, Michela Bertolotto, Guerrini, Giovanna, Bertolotto, Michela   +7 more
core   +1 more source