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Kasper Kansanen
Kasper Kansanen
Last academic affiliation to University of Eastern Finland
Verified email at uef.fi - Homepage
Title
Cited by
Cited by
Year
Stand density estimators based on individual tree detection and stochastic geometry
K Kansanen, J Vauhkonen, T Lähivaara, L Mehtätalo
Canadian Journal of Forest Research 46 (11), 1359-1366, 2016
312016
Estimating forest stand density and structure using Bayesian individual tree detection, stochastic geometry, and distribution matching
K Kansanen, J Vauhkonen, T Lähivaara, A Seppänen, M Maltamo, ...
ISPRS Journal of Photogrammetry and Remote Sensing 152, 66-78, 2019
212019
Modelling and real-time analysis of critical infrastructure using discrete event systems on graphs
S Puuska, K Kansanen, L Rummukainen, J Vankka
2015 IEEE International Symposium on Technologies for Homeland Security (HST …, 2015
82015
Horvitz‐Thompson–like estimation with distance‐based detection probabilities for circular plot sampling of forests
K Kansanen, P Packalen, M Maltamo, L Mehtätalo
Biometrics 77 (2), 715-728, 2021
42021
Refining and evaluating a Horvitz–Thompson-like stand density estimator in individual tree detection based on airborne laser scanning
K Kansanen, P Packalen, T Lähivaara, A Seppänen, J Vauhkonen, ...
Canadian journal of forest research 52 (4), 527-538, 2022
32022
Using stochastic geometry and sequential spatial point process model for estimation of stand density based on ALS-itd
L Mehtätalo, A Yazigi, K Kansanen, P Packalen, T Lähivaara, M Maltamo, ...
Proceedings of the SilviLaser Conference 2021, 2021
12021
Estimation of forest stand characteristics using individual tree detection, stochastic geometry and a sequential spatial point process model
L Mehtätalo, A Yazigi, K Kansanen, P Packalen, T Lähivaara, M Maltamo, ...
International Journal of Applied Earth Observation and Geoinformation 112 …, 2022
2022
Correcting TLS Estimation for Shading by Other Trees Using a Horvitz-Thompson-like Estimator
K Kansanen, P Packalen, M Maltamo, L Mehtätalo
Proceedings of the SilviLaser Conference 2021, 2021
2021
Horvitz-Thompson-like estimators based on stochastic geometry for forest remote sensing
K Kansanen
Itä-Suomen yliopisto, 2020
2020
Stokastiset differentiaaliyhtälöt ja stokastinen Lorenzin systeemi
KPP Kansanen
Itä-Suomen yliopisto, 2012
2012
Finding hidden trees in remote sensing of forests by using stochastic geometry, sequential spatial point processes and the HT-like estimator
L Mehtätalo, K Kansanen, A Yazigi
Estimation of forest characteristics using airborne laser scanning: could stochastic geometry help?
L Mehtätalo, K Kansanen
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