Giona Matasci
Giona Matasci
MDA/MAXAR
Verified email at mdacorporation.com
Title
Cited by
Cited by
Year
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
2182010
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
1192015
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
692018
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
622012
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
322018
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
322011
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
262015
Semi-supervised multiview embedding for hyperspectral data classification
M Volpi, G Matasci, M Kanevski, D Tuia
Neurocomputing 145, 427-437, 2014
242014
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
182017
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
112017
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, 81800F, 2011
82011
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, 2018
62018
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
62009
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), 31, 2018
52018
Investigating feature extraction for domain adaptation in remote sensing image classification
G Matasci, L Bruzzone, M Volpi, D Tuia, M Kanevski
Proc. of the International Conference on Pattern Recognition Applications …, 2013
42013
Domain separation for efficient adaptive active learning
G Matasci, D Tuia, M Kanevski
2011 IEEE International Geoscience and Remote Sensing Symposium, 3716-3719, 2011
42011
Statistical assessment of dataset shift and model portability in multi-angle in-track image acquisitions
G Matasci, N Longbotham, F Pacifici, M Kanevski, D Tuia
IEEE International Geoscience and Remote Sensing Symposium, IGARSS, 2013
12013
Multi-view feature extraction for hyperspectral image classification.
M Volpi, G Matasci, MF Kanevski, D Tuia
ESANN, 2013
12013
Enhanced change detection using nonlinear feature extraction
M Volpi, G Matasci, D Tuia, M Kanevski
2012 IEEE International Geoscience and Remote Sensing Symposium, 6757-6760, 2012
12012
Analysis, Modeling and Spatio-Temporal Prediction of Avalanches Using Support Vector Machines
G Matasci, A Pozdnoukhov, M Kanevski
Proc. of the World Statistics Congress of the International Statistical …, 2011
12011
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Articles 1–20