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Connie Ko
Connie Ko
Bestätigte E-Mail-Adresse bei yorku.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
GIS modeling for predicting river runoff volume in ungauged drainages in the Greater Toronto Area, Canada
Q Cheng, C Ko, Y Yuan, Y Ge, S Zhang
Computers & geosciences 32 (8), 1108-1119, 2006
872006
Tree genera classification with geometric features from high-density airborne LiDAR
C Ko, G Sohn, TK Remmel
Canadian Journal of Remote Sensing 39 (sup1), S73-S85, 2013
472013
GIS spatial modeling of river flow and precipitation in the Oak Ridges Moraine area, Ontario
C Ko, Q Cheng
Computers & Geosciences 30 (4), 379-389, 2004
312004
Mapping tree genera using discrete LiDAR and geometric tree metrics
C Ko, TK Remmel, G Sohn
Bosque 33 (3), 313-319, 2012
232012
Maximizing the diversity of ensemble random forests for tree genera classification using high density LiDAR data
C Ko, G Sohn, TK Remmel, JR Miller
Remote Sensing 8 (8), 646, 2016
172016
Hybrid ensemble classification of tree genera using airborne LiDAR data
C Ko, G Sohn, TK Remmel, J Miller
Remote Sensing 6 (11), 11225-11243, 2014
172014
GIS spatial-temporal modeling of water systems in greater Toronto area, Canada
Q Cheng, G Zhang, C Lu, C Ko
Journal of Earth Science 15 (3), 275-282, 2004
112004
Deep multi-task learning for tree genera classification
C Ko, J Kang, G Sohn
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2018
102018
Classification for deciduous and coniferous trees using airborne LiDAR and internal structure reconstructions
C Ko, G Sohn, TK Remmel
Proceedings of SilviLaser, 14-16, 2009
82009
Storm runoff volume estimation in the Oak Ridges Moraine area, using GIS remote sensing techniques.
COY Ko
72004
The impact of LiDAR point density on classifying tree genus: using geometric features and vertical profile features
C Ko, G Sohn, TK Remmel
Proceedings of the SilviLaser, 2012
62012
A comparitive study using geometric and vertical profile features derived from airborne LIDAR for classifying tree genera
C Ko, G Sohn, TK Remmel
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2012
62012
Experimental investigation of geometric features extracted from airborne LiDAR for tree species classification
C Ko, G Sohn, TK Remmel
Proceedings of SilviLaser 2010, the 10th International Conference on LiDAR …, 2010
32010
Airborne LiDAR applications in forest landscapes
C Ko, TK Remmel
Mapping Forest Landscape Patterns, 147-185, 2017
22017
Characterizing and comparing GIS polygon shape complexity by iterative shrinking spectra
TK Remmel, C Ko, RL Bello
Spatial data quality: from process to decisions, 41-52, 2010
22010
A decidious-coniferous single tree classification and internal structure derivation using airborne LiDAR data
C Ko, G Sohna, TK Remmel
Laser Scanning 2009, IAPRS 41, 2009
22009
Yuto Semantic: a Large Scale Aerial LIDAR Dataset for Semantic Segmentation
S Yoo, C Ko, G Sohn, H Lee
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2023
2023
YUTO Tree5000: A Large-Scale Airborne LiDAR Dataset for Single Tree Detection
C Ko, Y Jeong, H Lee, G Sohn
International Conference on Pattern Recognition, 371-385, 2022
2022
Tree genera classification by ensemble classification of small-footprint airborne LiDAR
COY Ko
2014
Mapeo del género de árboles usando LiDAR y métricas geométricas para árboles
C Ko, TK Remmel, G Sohn
Bosque (Valdivia) 33 (3), 313-319, 2012
2012
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