Results 31 to 40 of about 54,662 (305)

S2PNet: An Interactive Learning Framework for Addressing Spatial–Spectral Heterogeneity in H2 Imagery Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral imagery with high spatial resolution (H2) imagery can synchronously obtain the spectral and spatial features of objects, thus providing richer information.
Shuai Zhang   +5 more
doaj   +1 more source

Stochasticity: A Feature for the Structuring of Large and Heterogeneous Image Databases

open access: yesEntropy, 2013
The paper addresses image feature characterization and the structuring of large and heterogeneous image databases through the stochasticity or randomness appearance. Measuring stochasticity involves finding suitable representations that can significantly
Rémi Mégret   +2 more
doaj   +1 more source

Content-Based Medical Image Retrieval Based on Image Feature Projection in Relevance Feedback Level [PDF]

open access: yesJournal of Intelligent Procedures in Electrical Technology, 2014
The purpose of this study is to design a content-based medical image retrieval system and provide a new method to reduce semantic gap between visual features and semantic concepts.
Mohammad Behnam, Hossein Pourghasem
doaj   +2 more sources

A Study of Ontology Convergence in a Semantic Wiki

open access: yes, 2008
Semantic Wikis propose a combination of both easy collaboration and semantic expressivity; characteristics of the WikiWikiWeb and the Semantic Web respectively. In this paper we look to define and analyse the Semantic Wiki method, in order to explore the
Kousetti, Chrysovalanto   +5 more
core   +1 more source

Ontologies to interpret remote sensing images: why do we need them?

open access: yesGIScience & Remote Sensing, 2019
The development of new sensors and easier access to remote sensing data are significantly transforming both the theory and practice of remote sensing. Although data-driven approaches based on innovative algorithms and enhanced computing capacities are ...
Damien Arvor   +4 more
doaj   +1 more source

DGFNet: Dual Gate Fusion Network for Land Cover Classification in Very High-Resolution Images

open access: yesRemote Sensing, 2021
Deep convolutional neural networks (DCNNs) have been used to achieve state-of-the-art performance on land cover classification thanks to their outstanding nonlinear feature extraction ability. DCNNs are usually designed as an encoder–decoder architecture
Yongjie Guo   +3 more
doaj   +1 more source

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi   +2 more
wiley   +1 more source

Large Scale Integration of Senses for the Semantic Web

open access: yes, 2009
Nowadays, the increasing amount of semantic data available on the Web leads to a new stage in the potential of Semantic Web applications. However, it also introduces new issues due to the heterogeneity of the available semantic resources.
Jorge Gracia   +5 more
core   +1 more source

Imputing Human Descriptions in Semantic Biometrics [PDF]

open access: yes, 2010
Human identification at a distance has received significant interest due to the ever increasing surveillance infrastructure. Biometrics such as face and gait offer a suitable physical attribute to uniquely identify people from a distance.
Mark S. Nixon   +3 more
core   +1 more source

A Comprehensive Review of Recent Advances in Multimodal Multimedia Indexing and Retrieval

open access: yesIEEE Access
With the exponential growth of digital data across several domains, multimedia retrieval has emerged as a very critical research area. While much development has been witnessed in feature extraction, indexing methods, and deep learning-based retrieval ...
Chethan Sharma   +2 more
doaj   +1 more source

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