Remote sensing image interpretation with semantic graph-based methods: A survey
With the significant improvements in Earth observation (EO) technologies, remote sensing
(RS) data exhibit the typical characteristics of Big Data. Propelled by the powerful feature …
(RS) data exhibit the typical characteristics of Big Data. Propelled by the powerful feature …
Toward urban water security: broadening the use of machine learning methods for mitigating urban water hazards
Due to the complex interactions of human activity and the hydrological cycle, achieving
urban water security requires comprehensive planning processes that address urban water …
urban water security requires comprehensive planning processes that address urban water …
A multi-level semantic scene interpretation strategy for change interpretation in remote sensing imagery
F Ghazouani, IR Farah… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Remotely sensed images represent an important source of information for monitoring land
changes that may occur. There is, therefore, a need to analyze and interpret such …
changes that may occur. There is, therefore, a need to analyze and interpret such …
Map archive mining: visual-analytical approaches to explore large historical map collections
Historical maps are unique sources of retrospective geographical information. Recently,
several map archives containing map series covering large spatial and temporal extents …
several map archives containing map series covering large spatial and temporal extents …
Rapid broad area search and detection of Chinese surface-to-air missile sites using deep convolutional neural networks
We evaluated how deep convolutional neural networks (DCNN) could assist in the labor-
intensive process of human visual searches for objects of interest in high-resolution imagery …
intensive process of human visual searches for objects of interest in high-resolution imagery …
[HTML][HTML] Research on the application of spatial partial differential equation in user oriented information mining
S Wu - Alexandria Engineering Journal, 2020 - Elsevier
In this paper, the application of spatial partial differential equation in user intent oriented
information mining is proposed. The hybrid mining algorithm is used to avoid the defects of a …
information mining is proposed. The hybrid mining algorithm is used to avoid the defects of a …
Big data analytics applying the fusion approach of multicriteria decision making with deep learning algorithms
SLV Papineni, S Yarlagadda, H Akkineni… - arXiv preprint arXiv …, 2021 - arxiv.org
Data is evolving with the rapid progress of population and communication for various types
of devices such as networks, cloud computing, Internet of Things (IoT), actuators, and …
of devices such as networks, cloud computing, Internet of Things (IoT), actuators, and …
A systematic analysis of flood ontologies: A parametric approach
The article identifies the core literature available on flood ontologies and presents a review
on these ontologies from various perspectives like its purpose, type, design methodologies …
on these ontologies from various perspectives like its purpose, type, design methodologies …
An Ontology and a reasoning approach for Evacuation in Flood Disaster Response
Managing flood-related data to assist in the disaster management is a critical process of
high importance during a flood disaster. These data are heterogeneous and can be …
high importance during a flood disaster. These data are heterogeneous and can be …
Deep residual network with multi-image attention for imputing under clouds in satellite imagery
X Yang, Y Zhao, RR Vatsavai - 2022 26th International …, 2022 - ieeexplore.ieee.org
Earth observations from remote sensing imagery play an important role in many
environmental applications ranging from natural resource (eg, crops, forests) monitoring to …
environmental applications ranging from natural resource (eg, crops, forests) monitoring to …