Mapping local climate zones for cities: A large review
The local climate zone (LCZ) system provides a universal classification mechanism for
urban and natural landscapes and plays an increasingly important role in urban climate …
urban and natural landscapes and plays an increasingly important role in urban climate …
Multisource and multitemporal data fusion in remote sensing: A comprehensive review of the state of the art
This article brings together the advances of multisource and multitemporal data fusion
approaches with respect to the various research communities and provides a thorough and …
approaches with respect to the various research communities and provides a thorough and …
More diverse means better: Multimodal deep learning meets remote-sensing imagery classification
Classification and identification of the materials lying over or beneath the earth's surface
have long been a fundamental but challenging research topic in geoscience and remote …
have long been a fundamental but challenging research topic in geoscience and remote …
A global map of Local Climate Zones to support earth system modelling and urban scale environmental science
There is a scientific consensus on the need for spatially detailed information on urban
landscapes at a global scale. These data can support a range of environmental services …
landscapes at a global scale. These data can support a range of environmental services …
Deepglobe 2018: A challenge to parse the earth through satellite images
Abstract We present the DeepGlobe 2018 Satellite Image Understanding Challenge, which
includes three public competitions for segmentation, detection, and classification tasks on …
includes three public competitions for segmentation, detection, and classification tasks on …
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources
This paper reviews the most important information fusion data-driven algorithms based on
Machine Learning (ML) techniques for problems in Earth observation. Nowadays we …
Machine Learning (ML) techniques for problems in Earth observation. Nowadays we …
Advanced multi-sensor optical remote sensing for urban land use and land cover classification: Outcome of the 2018 IEEE GRSS data fusion contest
This paper presents the scientific outcomes of the 2018 Data Fusion Contest organized by
the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and …
the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and …
Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images
Abstract The Local Climate Zone (LCZ) scheme is a classification system providing a
standardization framework to present the characteristics of urban forms and functions …
standardization framework to present the characteristics of urban forms and functions …
Multimodal classification: Current landscape, taxonomy and future directions
Multimodal classification research has been gaining popularity with new datasets in
domains such as satellite imagery, biometrics, and medicine. Prior research has shown the …
domains such as satellite imagery, biometrics, and medicine. Prior research has shown the …
Generating WUDAPT Level 0 data–Current status of production and evaluation
Abstract The World Urban Database and Access Portal Tools (WUDAPT) project has grown
out of the need for better information on the form and function of cities globally. Cities are …
out of the need for better information on the form and function of cities globally. Cities are …