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23 Dec 2021
A COMPARISON OF TREE-BASED ALGORITHMS FOR COMPLEX WETLAND CLASSIFICATION USING THE GOOGLE EARTH ENGINE
A. Jamali, M. Mahdianpari, and İ. R. Karaş
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THE SEVENTH INTERNATIONAL CONFERENCE ON SMART CITY APPLICATIONS: PREFACE
I. R. Karas, M. Ben Ahmed, A. A. Boudhir, R. Dionisio, D. Santos, and B. K. Ane
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W3-2022, 1–3, https://doi.org/10.5194/isprs-archives-XLVIII-4-W3-2022-1-2022,https://doi.org/10.5194/isprs-archives-XLVIII-4-W3-2022-1-2022, 2022
kCV-B: BOOTSTRAP WITH CROSS-VALIDATION FOR DEEP LEARNING MODEL DEVELOPMENT, ASSESSMENT AND SELECTION
A. Nurunnabi, F. N. Teferle, D. F. Laefer, F. Remondino, I. R. Karas, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W3-2022, 111–118, https://doi.org/10.5194/isprs-archives-XLVIII-4-W3-2022-111-2022,https://doi.org/10.5194/isprs-archives-XLVIII-4-W3-2022-111-2022, 2022
EVALUATING PIXEL-BASED AND OBJECT-BASED APPROACHES FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF OPTICAL, SAR, AND AN EXTREME GRADIENT BOOSTING MODEL
H. Tamiminia, B. Salehi, M. Mahdianpari, C. M. Beier, and L. Johnson
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 485–492, https://doi.org/10.5194/isprs-annals-V-3-2022-485-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-485-2022, 2022
A COMPARISON OF RANDOM FOREST AND LIGHT GRADIENT BOOSTING MACHINE FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF LANDSAT, ALOS PALSAR, AND AIRBORNE LIDAR DATA
H. Tamiminia, B. Salehi, M. Mahdianpari, C. M. Beier, L. Johnson, and D. B. Phoenix
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-M-3-2021, 163–168, https://doi.org/10.5194/isprs-archives-XLIV-M-3-2021-163-2021,https://doi.org/10.5194/isprs-archives-XLIV-M-3-2021-163-2021, 2021
A COMPARISON OF DECISION TREE-BASED MODELS FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF AIRBORNE LIDAR AND LANDSAT DATA
H. Tamiminia, B. Salehi, M. Mahdianpari, C. M. Beier, L. Johnson, and D. B. Phoenix
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 235–241, https://doi.org/10.5194/isprs-annals-V-3-2021-235-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-235-2021, 2021