|
06 Aug 2022
EXPERIMENT ON PRODUCING DISPARITY MAPS FROM AERIAL STEREO IMAGES USING UNSUPERVISED AND SUPERVISED METHODS
L. Zhu, E. Hattula, J. Raninen, and J. Hyyppä
Related authors
CONVOLUTIONAL NEURAL NETWORKS BASED GNSS SIGNAL CLASSIFICATION USING CORRELATOR-LEVEL MEASUREMENTS
C. Jiang, Y. Chen, B. Xu, J. Jia, H. Sun, Z. He, T. Wang, and J. Hyyppä
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-3-W1-2022, 61–66, https://doi.org/10.5194/isprs-archives-XLVI-3-W1-2022-61-2022,https://doi.org/10.5194/isprs-archives-XLVI-3-W1-2022-61-2022, 2022
INTERACTIVE GEO-INFORMATION IN VIRTUAL REALITY – OBSERVATIONS AND FUTURE CHALLENGES
J.-P. Virtanen, A. Julin, H. Handolin, T. Rantanen, M. Maksimainen, J. Hyyppä, and H. Hyyppä
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4-W1-2020, 159–165, https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-159-2020,https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-159-2020, 2020
A TERRESTRIAL LASER SCANNING MEASUREMENT STATION TO MONITOR LONG-TERM STRUCTURAL DYNAMICS IN A BOREAL FOREST
M. Campos, P. Litkey, Y. Wang, Y. Chen, H. Hyyti, J. Hyyppä, and E. Puttonen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 27–31, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-27-2020,https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-27-2020, 2020
Topographical change caused by moderate and small floods in a gravel bed ephemeral river – a depth-averaged morphodynamic simulation approach
Eliisa S. Lotsari, Mikel Calle, Gerardo Benito, Antero Kukko, Harri Kaartinen, Juha Hyyppä, Hannu Hyyppä, and Petteri Alho
Earth Surf. Dynam., 6, 163–185, https://doi.org/10.5194/esurf-6-163-2018,https://doi.org/10.5194/esurf-6-163-2018, 2018
Short summary
UAV-BASED PHOTOGRAMMETRIC POINT CLOUDS AND HYPERSPECTRAL IMAGING FOR MAPPING BIODIVERSITY INDICATORS IN BOREAL FORESTS
N. Saarinen, M. Vastaranta, R. Näsi, T. Rosnell, T. Hakala, E. Honkavaara, M. A. Wulder, V. Luoma, A. M. G. Tommaselli, N. N. Imai, E. A. W. Ribeiro, R. B. Guimarães, M. Holopainen, and J. Hyyppä
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 171–175, https://doi.org/10.5194/isprs-archives-XLII-3-W3-171-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W3-171-2017, 2017
MEASURING LEAF WATER CONTENT USING MULTISPECTRAL TERRESTRIAL LASER SCANNING
S. Junttila, M. Vastaranta, R. Linnakoski, J. Sugano, H. Kaartinen, A. Kukko, M. Holopainen, H. Hyyppä, and J. Hyyppä
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 81–85, https://doi.org/10.5194/isprs-archives-XLII-3-W3-81-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W3-81-2017, 2017
DEVELOPMENT OF SMART PRECISION FOREST IN CONIFER PLANTATION IN JAPAN USING LASER SCANNING DATA
M. Katoh, S. Deng, Y. Takenaka, K. Cheung, K. Oono, M. Horisawa, J. Hyyppä, X. Yu, X. Liang, and Y. Wang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 95–100, https://doi.org/10.5194/isprs-archives-XLII-3-W3-95-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W3-95-2017, 2017
FEASIBILITY OF MULTISPECTRAL AIRBORNE LASER SCANNING FOR LAND COVER CLASSIFICATION, ROAD MAPPING AND MAP UPDATING
L. Matikainen, K. Karila, J. Hyyppä, E. Puttonen, P. Litkey, and E. Ahokas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 119–122, https://doi.org/10.5194/isprs-archives-XLII-3-W3-119-2017,https://doi.org/10.5194/isprs-archives-XLII-3-W3-119-2017, 2017