Artiklar
[1]
R. Hosseini et al.,
"A framework for performance analysis of OpenStreetMap data in navigation applications : the case of a well-developed road network in Australia,"
ANNALS OF GIS, 2025.
[2]
R. Yadav och A. Nascetti,
"A Multi-Modal, Multi-Temporal, Multi-Resolution Benchmark Dataset for Building Height Estimation,"
, 2025.
[3]
X. Liu et al.,
"Assessing urban sustainability in the Belt and Road region: a city-level analysis of SDG 11 indicators using earth observations,"
International Journal of Digital Earth, vol. 18, no. 1, 2025.
[4]
Y. Zhao och Y. Ban,
"Assessment of L-Band and C-Band SAR on Burned Area Mapping of Multiseverity Forest Fires Using Deep Learning,"
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, s. 14148-14159, 2025.
[5]
S. Hafner et al.,
"Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration,"
IEEE Transactions on Geoscience and Remote Sensing, vol. 63, s. 1-18, 2025.
[6]
Z. Xu et al.,
"Deep learning for wildfire risk prediction : Integrating remote sensing and environmental data,"
ISPRS journal of photogrammetry and remote sensing (Print), vol. 227, s. 632-677, 2025.
[7]
P. Nezval och T. Shirabe,
"Design and implementation of a spatial database for analysis of wheelchair accessibility,"
Geospatial Health, vol. 20, no. 1, 2025.
[8]
S. Hafner et al.,
"DisasterAdaptiveNet: A robust network for multi-hazard building damage detection from very-high-resolution satellite imagery,"
International Journal of Applied Earth Observation and Geoinformation, vol. 143, 2025.
[9]
Y. Zhou et al.,
"EMSNet: Efficient Multimodal Symmetric Network for Semantic Segmentation of Urban Scene From Remote Sensing Imagery,"
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, s. 5878-5892, 2025.
[10]
S. P. Cumbane et al.,
"Face-to-Face Interactions Estimated Using Mobile Phone Data to Support Contact Tracing Operations,"
Big data and cognitive computing, vol. 9, no. 1, 2025.
[11]
R. Yadav, A. Nascetti och Y. Ban,
"How high are we? Large-scale building height estimation at 10 m using Sentinel-1 SAR and Sentinel-2 MSI time series,"
Remote Sensing of Environment, vol. 318, 2025.
[12]
J. Hatzenbühler et al.,
"Multi-purpose pickup and delivery problem for combined passenger and freight transport,"
Transportation, vol. 52, s. 1975-2006, 2025.
[13]
Y. Zhao och Y. Ban,
"Near real-time wildfire progression mapping with VIIRS time-series and autoregressive SwinUNETR,"
International Journal of Applied Earth Observation and Geoinformation, vol. 136, 2025.
[14]
Q. Zhang et al.,
"Nighttime light development index: a new evaluation method for China’s construction land utilization level,"
Humanities and Social Sciences Communications, vol. 12, no. 1, 2025.
[15]
Y. Zhao och Y. Ban,
"RADARSAT constellation mission compact polarisation SAR data for burned area mapping with deep learning,"
International Journal of Applied Earth Observation and Geoinformation, vol. 141, 2025.
[16]
O. M. Meneses et al.,
"Resilience of the Miombo Woodland to Different Fire Frequencies in the LevasFlor Forest Concession, Central Mozambique,"
Forests, vol. 16, no. 1, 2025.
[17]
O. Maillard et al.,
"Seasonal spatial-temporal trends of vegetation recovery in burned areas across Africa,"
PLOS ONE, vol. 20, no. 2 February, 2025.
[18]
I. Ioannidis et al.,
"Using remote sensing data to derive built-form indexes to analyze the geography of residential burglary and street thefts,"
Cartography and Geographic Information Science, vol. 52, no. 3, s. 259-275, 2025.
[19]
L. Seegmiller och T. Shirabe,
"A method for finding a maximum value region with a minimum width in raster space,"
International Journal of Geographical Information Science, vol. 38, no. 4, s. 675-698, 2024.
[20]
P. Zhang et al.,
"Assessing Sentinel-2, Sentinel-1, and ALOS-2 PALSAR-2 Data for Large-Scale Wildfire-Burned Area Mapping : Insights from the 2017–2019 Canada Wildfires,"
Remote Sensing, vol. 16, no. 3, 2024.
[21]
Y. Sun et al.,
"Cross-Modal Hashing With Feature Semi-Interaction and Semantic Ranking for Remote Sensing Ship Image Retrieval,"
IEEE Transactions on Geoscience and Remote Sensing, vol. 62, 2024.
[22]
Y. Zhou et al.,
"DCTN: Dual-Branch Convolutional Transformer Network With Efficient Interactive Self-Attention for Hyperspectral Image Classification,"
IEEE Transactions on Geoscience and Remote Sensing, vol. 62, s. 1-16, 2024.
[23]
S. P. Cumbane och G. Gidofalvi,
"Deep learning-based approach for COVID-19 spread prediction,"
International Journal of Data Science and Analytics, s. 1-17, 2024.
[24]
E. Saqib och G. Gidofalvi,
"Dynamic Adaptive Charging Network Planning Under Deep Uncertainties,"
Energies, vol. 17, no. 21, 2024.
[25]
J. Yu et al.,
"Evaluating urban development and socio-economic disparity in India through nighttime light data,"
Journal of Geographical Sciences, vol. 34, no. 12, s. 2440-2456, 2024.
[26]
Y. Zhou et al.,
"MSMT-LCL : Multiscale Spatial-Spectral Masked Transformer With Local Contrastive Learning for Hyperspectral Image Classification,"
IEEE Transactions on Geoscience and Remote Sensing, vol. 62, 2024.
[27]
O. M. Meneses et al.,
"Spatio-Temporal Analysis of Wildfire Regimes in Miombo of the LevasFlor Forest Concession, Central Mozambique,"
Fire, vol. 7, no. 8, 2024.
[28]
R. Yadav et al.,
"Unsupervised Flood Detection on SAR Time Series using Variational Autoencoder,"
International Journal of Applied Earth Observation and Geoinformation, 2024.
[29]
R. Yadav et al.,
"Unsupervised flood detection on SAR time series using variational autoencoder,"
International Journal of Applied Earth Observation and Geoinformation, vol. 126, 2024.
[30]
W. Lu et al.,
"Urban network geofencing with dynamic speed limit policy via deep reinforcement learning,"
Transportation Research Part A : Policy and Practice, vol. 183, 2024.
[31]
L. Seegmiller och T. Shirabe,
"A method for finding a least-cost corridor on an ordinal-scaled raster cost surface,"
Annals of GIS, vol. 29, no. 2, s. 205-225, 2023.
[32]
R. Hosseini et al.,
"A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data,"
ISPRS International Journal of Geo-Information, vol. 12, no. 7, 2023.
[33]
J. Huang och P. Zhang,
"Beyond Pixel-Wise Unmixing : Spatial-Spectral Attention Fully Convolutional Networks for Abundance Estimation,"
Remote Sensing, vol. 15, no. 24, 2023.
[34]
V. Belloni et al.,
"Crack Monitoring from Motion (CMfM) : Crack detection and measurement using cameras with non-fixed positions,"
Automation in Construction, vol. 156, 2023.
[35]
Y. Wang et al.,
"Effect of Manufacturing Conditions and Al Addition on Inclusion Characteristics in Co-Based Dual-Phase High Entropy Alloy,"
Metallurgical and Materials Transactions. A, vol. 54, no. 7, s. 2715-2729, 2023.
[36]
X. Hu et al.,
"GAN-based SAR and optical image translation for wildfire impact assessment using multi-source remote sensing data,"
Remote Sensing of Environment, vol. 289, s. 113522, 2023.
[37]
X. Hu, P. Zhang och Y. Ban,
"Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models,"
ISPRS journal of photogrammetry and remote sensing (Print), vol. 196, s. 228-240, 2023.
[38]
J. Hatzenbühler et al.,
"Modular vehicle routing for combined passenger and freight transport,"
Transportation Research Part A : Policy and Practice, vol. 173, s. 103688-103688, 2023.
[39]
S. Hafner, Y. Ban och A. Nascetti,
"Semi-Supervised Urban Change Detection Using Multi-Modal Sentinel-1 SAR and Sentinel-2 MSI Data,"
Remote Sensing, vol. 15, no. 21, 2023.
[40]
M. Nhangumbe et al.,
"Supervised and unsupervised machine learning approaches using Sentinel data for flood mapping and damage assessment in Mozambique,"
Remote Sensing Applications: Society and Environment, vol. 32, 2023.
[41]
Y. Zhao, Y. Ban och J. Sullivan,
"Tokenized Time-Series in Satellite Image Segmentation With Transformer Network for Active Fire Detection,"
IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023.
[42]
P. Zhang, Y. Ban och A. Nascetti,
"Total-variation regularized U-Net for wildfire burned area mapping based on Sentinel-1 C-Band SAR backscattering data,"
ISPRS journal of photogrammetry and remote sensing (Print), vol. 203, s. 301-313, 2023.
[43]
S. Georganos et al.,
"A census from heaven : Unraveling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environments,"
International Journal of Applied Earth Observation and Geoinformation, vol. 114, 2022.
[44]
S. Georganos och S. Kalogirou,
"A Forest of Forests : A Spatially Weighted and Computationally Efficient Formulation of Geographical Random Forests,"
ISPRS International Journal of Geo-Information, vol. 11, no. 9, s. 471, 2022.
[45]
L. Seegmiller och T. Shirabe,
"A method for finding least-cost corridors in three-dimensional raster space,"
Transactions on GIS, vol. 26, no. 2, s. 1098-1115, 2022.
[46]
R. Yadav, A. Nascetti och Y. Ban,
"Deep attentive fusion network for flood detection on uni-temporal Sentinel-1 data,"
Frontiers in Remote Sensing, vol. 3, 2022.
[47]
K. Maier et al.,
"Direct photogrammetry with multispectral imagery for UAV-based snow depth estimation,"
ISPRS journal of photogrammetry and remote sensing (Print), vol. 186, s. 1-18, 2022.
[48]
A. Lotfata et al.,
"Ecological Associations between Obesity Prevalence and Neighborhood Determinants Using Spatial Machine Learning in Chicago, Illinois, USA,"
ISPRS International Journal of Geo-Information, vol. 11, no. 11, 2022.
[49]
X. Li et al.,
"GCDB-UNet : A novel robust cloud detection approach for remote sensing images,"
Knowledge-Based Systems, vol. 238, 2022.
[50]
Y. Zhao och Y. Ban,
"GOES-R Time Series for Early Detection of Wildfires with Deep GRU-Network,"
Remote Sensing, vol. 14, no. 17, 2022.