Challenges and opportunities of multimodality and data fusion in remote sensing
Remote sensing is one of the most common ways to extract relevant information about Earth
and our environment. Remote sensing acquisitions can be done by both active (synthetic …
and our environment. Remote sensing acquisitions can be done by both active (synthetic …
A comprehensive review of hyperspectral data fusion with lidar and sar data
S Kahraman, R Bacher - Annual Reviews in Control, 2021 - Elsevier
With the development of remote sensing techniques, the fusion of multimodal data,
particularly hyperspectral-Light Detection And Ranging (HS-LiDAR) and hyperspectral-SAR …
particularly hyperspectral-Light Detection And Ranging (HS-LiDAR) and hyperspectral-SAR …
[HTML][HTML] MCANet: A joint semantic segmentation framework of optical and SAR images for land use classification
X Li, G Zhang, H Cui, S Hou, S Wang, X Li… - International Journal of …, 2022 - Elsevier
Deep convolution neural network (DCNN) is among the most effective ways of performing
land use classification of high-resolution remote sensing images. Land use classification by …
land use classification of high-resolution remote sensing images. Land use classification by …
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 …
Data fusion and remote sensing: An ever-growing relationship
Characterized by a certain focus on the heavily discussed topic of image fusion in its
beginnings, sensor data fusion has played a significant role in the remote sensing research …
beginnings, sensor data fusion has played a significant role in the remote sensing research …
Hyperspectral and LiDAR data fusion: Outcome of the 2013 GRSS data fusion contest
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 …
Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities
T Ma, C Zhou, T Pei, S Haynie, J Fan - Remote Sensing of Environment, 2012 - Elsevier
Urbanization process involving increased population size, spatially extended land cover and
intensified economic activity plays a substantial role in anthropogenic environment changes …
intensified economic activity plays a substantial role in anthropogenic environment changes …
[HTML][HTML] Unsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI data
Accurate and up-to-date maps of built-up areas are crucial to support sustainable urban
development. Earth Observation (EO) is a valuable data source to cover this demand. In …
development. Earth Observation (EO) is a valuable data source to cover this demand. In …
Dimensionality reduction and feature selection for object-based land cover classification based on Sentinel-1 and Sentinel-2 time series using Google Earth Engine
Map** Earth's surface and its rapid changes with remotely sensed data is a crucial task to
understand the impact of an increasingly urban world population on the environment …
understand the impact of an increasingly urban world population on the environment …
Processing of multiresolution thermal hyperspectral and digital color data: Outcome of the 2014 IEEE GRSS data fusion contest
This paper reports the outcomes of the 2014 Data Fusion Contest organized by the Image
Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and …
Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and …