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 …
Hyperspectral and LiDAR fusion using deep three-stream convolutional neural networks
Recently, convolutional neural networks (CNN) have been intensively investigated for the
classification of remote sensing data by extracting invariant and abstract features suitable for …
classification of remote sensing data by extracting invariant and abstract features suitable for …
2018 IEEE GRSS data fusion contest: Multimodal land use classification [technical committees]
The 2018 Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical
Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS) and the …
Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS) and the …
Multisource hyperspectral and LiDAR data fusion for urban land-use mapping based on a modified two-branch convolutional neural network
Accurate urban land-use mapping is a challenging task in the remote-sensing field. With the
availability of diverse remote sensors, synthetic use and integration of multisource data …
availability of diverse remote sensors, synthetic use and integration of multisource data …
Classification of hyperspectral and LiDAR data using coupled CNNs
In this article, we propose an efficient and effective framework to fuse hyperspectral and light
detection and ranging (LiDAR) data using two coupled convolutional neural networks …
detection and ranging (LiDAR) data using two coupled convolutional neural networks …
Fusion of optical, radar and waveform LiDAR observations for land cover classification
H Jin, G Mountrakis - ISPRS Journal of Photogrammetry and Remote …, 2022 - Elsevier
Land cover is an integral component for characterizing anthropogenic activity and promoting
sustainable land use. Mapping distribution and coverage of land cover at broad …
sustainable land use. Mapping distribution and coverage of land cover at broad …
A scalable earth observation service to map land cover in geomorphological complex areas beyond the dynamic world: an application in Aosta Valley (NW Italy)
T Orusa, D Cammareri, E Borgogno Mondino - Applied Sciences, 2022 - mdpi.com
Earth Observation services guarantee continuous land cover mapping and are becoming of
great interest worldwide. The Google Earth Engine Dynamic World represents a planetary …
great interest worldwide. The Google Earth Engine Dynamic World represents a planetary …
Hyperspectral and LiDAR data fusion: Outcome of the 2013 GRSS data fusion contest
C Debes, A Merentitis, R Heremans… - IEEE Journal of …, 2014 - ieeexplore.ieee.org
The 2013 Data Fusion Contest organized by the Data Fusion Technical Committee (DFTC)
of the IEEE Geoscience and Remote Sensing Society aimed at investigating the synergistic …
of the IEEE Geoscience and Remote Sensing Society aimed at investigating the synergistic …
Urban remote sensing using multiple data sets: Past, present, and future
This presentation aims at stimulating ongoing research and development on the topic of
urban remote sensing exploiting multiple data sets by offering a bibliographic review of the …
urban remote sensing exploiting multiple data sets by offering a bibliographic review of the …
Open data for global multimodal land use classification: Outcome of the 2017 IEEE GRSS data fusion contest
In this paper, we present the scientific outcomes of the 2017 Data Fusion Contest organized
by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and …
by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and …