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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 …
Humanitarian applications of machine learning with remote-sensing data: review and case study in refugee settlement map**
The coordination of humanitarian relief, eg in a natural disaster or a conflict situation, is often
complicated by a scarcity of data to inform planning. Remote sensing imagery, from satellites …
complicated by a scarcity of data to inform planning. Remote sensing imagery, from satellites …
Toward the remote monitoring of armed conflicts
The war in Ukraine has pushed the role of satellite imagery in armed conflicts into the
spotlight. For a long time, satellite images were primarily used for military and intelligence …
spotlight. For a long time, satellite images were primarily used for military and intelligence …
Earth observation tools and services to increase the effectiveness of humanitarian assistance
S Lang, P Füreder, B Riedler, L Wendt… - European Journal of …, 2020 - Taylor & Francis
Humanitarian action has rapidly adopted Earth observation (EO) and geospatial
technologies sha** them according to their needs. Protracted crises and large-scale …
technologies sha** them according to their needs. Protracted crises and large-scale …
Remote sensing image fusion using hierarchical multimodal probabilistic latent semantic analysis
The generative semantic nature of probabilistic topic models has recently shown
encouraging results within the remote sensing image fusion field when conducting land …
encouraging results within the remote sensing image fusion field when conducting land …
Spatial-temporal super-resolution of satellite imagery via conditional pixel synthesis
High-resolution satellite imagery has proven useful for a broad range of tasks, including
measurement of global human population, local economic livelihoods, and biodiversity …
measurement of global human population, local economic livelihoods, and biodiversity …
Synergistic use of Sentinel-1 and Sentinel-2 for improved LULC map** with special reference to bad land class: a case study for Yamuna River floodplain, India
High accuracy land use/land cover (LULC) map** of Yamuna Chambal ravines for
reclamation and conservation of these degraded/badlands is indispensable. Integration of …
reclamation and conservation of these degraded/badlands is indispensable. Integration of …
Multi-source remote sensing image fusion for ship target detection and recognition
J Liu, H Chen, Y Wang - Remote Sensing, 2021 - mdpi.com
The active recognition of interesting targets has been a vital issue for remote sensing. In this
paper, a novel multi-source fusion method for ship target detection and recognition is …
paper, a novel multi-source fusion method for ship target detection and recognition is …
[HTML][HTML] Multi-sensor feature fusion for very high spatial resolution built-up area extraction in temporary settlements
Detailed and up-to-date knowledge on the situation in temporary settlements of forced
migrants plays an important role for effective humanitarian assistance. These settlements …
migrants plays an important role for effective humanitarian assistance. These settlements …
Map** of dwellings in IDP/refugee settlements from very high-resolution satellite imagery using a mask region-based convolutional neural network
Earth-observation-based map** plays a critical role in humanitarian responses by
providing timely and accurate information in inaccessible areas, or in situations where …
providing timely and accurate information in inaccessible areas, or in situations where …