Large-area mapping of Canadian boreal forest cover, height, biomass and other structural attributes using Landsat composites and lidar plots G Matasci, T Hermosilla, MA Wulder, JC White, NC Coops, GW Hobart, ... Remote sensing of environment 209, 90-106, 2018 | 267 | 2018 |
Learning relevant image features with multiple-kernel classification D Tuia, G Camps-Valls, G Matasci, M Kanevski IEEE Transactions on Geoscience and Remote Sensing 48 (10), 3780-3791, 2010 | 249 | 2010 |
Semisupervised transfer component analysis for domain adaptation in remote sensing image classification G Matasci, M Volpi, M Kanevski, L Bruzzone, D Tuia IEEE Transactions on Geoscience and Remote Sensing 53 (7), 3550-3564, 2015 | 238 | 2015 |
Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots G Matasci, T Hermosilla, MA Wulder, JC White, NC Coops, GW Hobart, ... Remote Sensing of Environment 216, 697-714, 2018 | 149 | 2018 |
SVM-based boosting of active learning strategies for efficient domain adaptation G Matasci, D Tuia, M Kanevski IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2012 | 90 | 2012 |
Assessing rockfall susceptibility in steep and overhanging slopes using three-dimensional analysis of failure mechanisms B Matasci, GM Stock, M Jaboyedoff, D Carrea, BD Collins, A Guérin, ... Landslides, 1-20, 2017 | 88 | 2017 |
Spatio-temporal avalanche forecasting with Support Vector Machines A Pozdnoukhov, G Matasci, M Kanevski, RS Purves Natural Hazards and Earth System Sciences 11 (2), 367-382, 2011 | 49 | 2011 |
Mapping tree canopies in urban environments using airborne laser scanning (ALS): a Vancouver case study G Matasci, NC Coops, DAR Williams, N Page Forest Ecosystems 5, 1-9, 2018 | 43 | 2018 |
Understanding angular effects in VHR imagery and their significance for urban land-cover model portability: A study of two multi-angle in-track image sequences G Matasci, N Longbotham, F Pacifici, M Kanevski, D Tuia ISPRS Journal of Photogrammetry and Remote Sensing 107, 99-111, 2015 | 40 | 2015 |
Semi-supervised multiview embedding for hyperspectral data classification M Volpi, G Matasci, M Kanevski, D Tuia Neurocomputing 145, 427-437, 2014 | 27 | 2014 |
Transfer component analysis for domain adaptation in image classification G Matasci, M Volpi, D Tuia, M Kanevski Image and signal processing for remote sensing XVII 8180, 125-133, 2011 | 21 | 2011 |
A WebGIS platform for the monitoring of Farm Animal Genetic Resources (GENMON) S Duruz, C Flury, G Matasci, F Joerin, I Widmer, S Joost PloS one 12 (4), e0176362, 2017 | 19 | 2017 |
Object-based urban landcover mapping methodology using high spatial resolution imagery and airborne laser scanning DAR Williams, G Matasci, NC Coops, SE Gergel Journal of Applied Remote Sensing 12 (4), 046020-046020, 2018 | 17 | 2018 |
Deep learning for vessel detection and identification from spaceborne optical imagery G Matasci, J Plante, K Kasa, P Mousavi, A Stewart, A Macdonald, ... ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2021 | 6 | 2021 |
Learning the relevant image features with multiple kernels D Tuia, G Matasci, G Camps-Valls, M Kanevski 2009 IEEE International Geoscience and Remote Sensing Symposium 2, II-65-II-68, 2009 | 6 | 2009 |
Modeling the shading effect of Vancouver’s urban tree canopy in relation to neighborhood variations Y Lu, J McCarty, J Sezto, Z Cheng, N Martino, C Girling, A Rysanek, ... Arboriculture & Urban Forestry (AUF) 48 (2), 95-112, 2022 | 5 | 2022 |
Investigating feature extraction for domain adaptation in remote sensing image classification G Matasci, L Bruzzone, M Volpi, D Tuia, M Kanevski International Conference on Pattern Recognition Applications and Methods 2 …, 2013 | 4 | 2013 |
Domain separation for efficient adaptive active learning G Matasci, D Tuia, M Kanevski 2011 IEEE International Geoscience and Remote Sensing Symposium, 3716-3719, 2011 | 4 | 2011 |
Unsupervised behaviour anomaly detection from fixed camera full motion video AJ Macdonald, M Lim, E Prystay, G Matasci, L Martin-Boyd, A Webster, ... Artificial Intelligence and Machine Learning in Defense Applications II …, 2020 | 3 | 2020 |
A space-time data cube: Multi-temporal forest structure maps from landsat and lidar G Matasci, T Hermosilla, MA Wulder, JC White, GW Hobart, HSJ Zald, ... 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 2 | 2017 |