-
1
-
-
84904599862
-
Comparing three global parametric and local non-parametric models to simulate land use change in diverse areas of the world
-
A. Tayyebi et al., "Comparing three global parametric and local non-parametric models to simulate land use change in diverse areas of the world," Environ. Model. Software 59, 202-221 (2014).
-
(2014)
Environ. Model. Software
, vol.59
, pp. 202-221
-
-
Tayyebi, A.1
-
2
-
-
84897442036
-
Modeling multiple land use changes using ANN, CART and MARS: Comparing tradeoffs in goodness of fit and explanatory power of data mining tools
-
A. Tayyebi and B. C. Pijanowski, "Modeling multiple land use changes using ANN, CART and MARS: comparing tradeoffs in goodness of fit and explanatory power of data mining tools," Int. J. Appl. Earth Obs. Geoinf. 28, 102-116 (2014).
-
(2014)
Int. J. Appl. Earth Obs. Geoinf.
, vol.28
, pp. 102-116
-
-
Tayyebi, A.1
Pijanowski, B.C.2
-
3
-
-
0034476942
-
Multiple criteria for evaluating machine learning algorithms for land cover classification from satellite data
-
R. S. DeFries and J. C. W. Chan, "Multiple criteria for evaluating machine learning algorithms for land cover classification from satellite data," Remote Sens. Environ. 74, 503-515 (2000).
-
(2000)
Remote Sens. Environ.
, vol.74
, pp. 503-515
-
-
DeFries, R.S.1
Chan, J.C.W.2
-
4
-
-
84855970934
-
An assessment of the effectiveness of a random forest classifier for land-cover classification
-
V. F. Rodriguez-Galiano et al., "An assessment of the effectiveness of a random forest classifier for land-cover classification," ISPRS J. Photogramm. Remote Sens. 67, 93-104 (2012).
-
(2012)
ISPRS J. Photogramm. Remote Sens.
, vol.67
, pp. 93-104
-
-
Rodriguez-Galiano, V.F.1
-
5
-
-
30344471525
-
Random forests for land cover classification
-
P. O. Gislason, J. A. Benediktsson, and J. R. Sveinsson, "Random forests for land cover classification," Pattern Recognit. Lett. 27, 294-300 (2006).
-
(2006)
Pattern Recognit. Lett.
, vol.27
, pp. 294-300
-
-
Gislason, P.O.1
Benediktsson, J.A.2
Sveinsson, J.R.3
-
6
-
-
84897879307
-
Object-oriented mapping of urban trees using Random Forest classifiers
-
A. Puissant, S. Rougier, and A. Stumpf, "Object-oriented mapping of urban trees using Random Forest classifiers," Int. J. Appl. Earth Obs. Geoinf. 26, 235-245 (2014).
-
(2014)
Int. J. Appl. Earth Obs. Geoinf.
, vol.26
, pp. 235-245
-
-
Puissant, A.1
Rougier, S.2
Stumpf, A.3
-
7
-
-
31344453556
-
Mapping invasive plants using hyperspectral imagery and breiman cutler classifications (random forest)
-
R. L. Lawrence, S. D. Wood, and R. L. Sheley, "Mapping invasive plants using hyperspectral imagery and breiman cutler classifications (random forest)," Remote Sens. Environ. 100, 356-362 (2006).
-
(2006)
Remote Sens. Environ.
, vol.100
, pp. 356-362
-
-
Lawrence, R.L.1
Wood, S.D.2
Sheley, R.L.3
-
8
-
-
41249090031
-
Integrating Landsat TM and SRTM-DEM derived variables with decision trees for habitat classification and change detection in complex neotropical environments
-
S. Sesnie et al., "Integrating Landsat TM and SRTM-DEM derived variables with decision trees for habitat classification and change detection in complex neotropical environments," Remote Sens. Environ. 112, 2145-2159 (2008).
-
(2008)
Remote Sens. Environ.
, vol.112
, pp. 2145-2159
-
-
Sesnie, S.1
-
9
-
-
43949125818
-
Evaluation of random forest and adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery
-
J. C. W. Chan and D. Paelinckx, "Evaluation of random forest and adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery," Remote Sens. Environ. 112, 2999-3011 (2008).
-
(2008)
Remote Sens. Environ.
, vol.112
, pp. 2999-3011
-
-
Chan, J.C.W.1
Paelinckx, D.2
-
10
-
-
79955448374
-
Contextual land-cover classification: Incorporating spatial dependence in land-cover classification models using random forests and the Getis statistic
-
B. Ghimire, J. Rogan, and J. Miller, "Contextual land-cover classification: incorporating spatial dependence in land-cover classification models using random forests and the Getis statistic," Remote Sens. Lett. 1, 45-54 (2010).
-
(2010)
Remote Sens. Lett.
, vol.1
, pp. 45-54
-
-
Ghimire, B.1
Rogan, J.2
Miller, J.3
-
11
-
-
84920663550
-
Temporal optimisation of image acquisition for land cover classification with Random Forest and MODIS time-series
-
I. Nitze, B. Barrett, and F. Cawkwell, "Temporal optimisation of image acquisition for land cover classification with Random Forest and MODIS time-series," Int. J. Appl. Earth Obs. Geoinf. 34, 136-146 (2015).
-
(2015)
Int. J. Appl. Earth Obs. Geoinf.
, vol.34
, pp. 136-146
-
-
Nitze, I.1
Barrett, B.2
Cawkwell, F.3
-
12
-
-
84920948074
-
Spectral-spatial classification for hyperspectral data using rotation forests with local feature extraction and Markov random fields
-
J. Xia et al., "Spectral-spatial classification for hyperspectral data using rotation forests with local feature extraction and Markov random fields," IEEE Trans. Geosci. Remote Sens. 53, 2532-2546 (2015).
-
(2015)
IEEE Trans. Geosci. Remote Sens.
, vol.53
, pp. 2532-2546
-
-
Xia, J.1
-
13
-
-
84943631716
-
Spatial application of random forest models for fine-scale coastal vegetation classification using object based analysis of aerial orthophoto and DEM data
-
A. Juel et al., "Spatial application of random forest models for fine-scale coastal vegetation classification using object based analysis of aerial orthophoto and DEM data," Int. J. Appl. Earth Obs. Geoinf. 42, 106-114 (2015).
-
(2015)
Int. J. Appl. Earth Obs. Geoinf.
, vol.42
, pp. 106-114
-
-
Juel, A.1
-
14
-
-
84942511299
-
Flood mapping based on multiple endmember spectral mixture analysis and random forest classifier-the case of Yuyao, China
-
Q. Feng et al., "Flood mapping based on multiple endmember spectral mixture analysis and random forest classifier-the case of Yuyao, China," Remote Sens. 7, 12539-12562 (2015).
-
(2015)
Remote Sens.
, vol.7
, pp. 12539-12562
-
-
Feng, Q.1
-
15
-
-
70350033997
-
Mapping snags and understory shrubs for a LiDAR-based assessment of wildlife habitat suitability
-
S. Martinuzzi et al., "Mapping snags and understory shrubs for a LiDAR-based assessment of wildlife habitat suitability," Remote Sens. Environ. 113, 2533-2546 (2009).
-
(2009)
Remote Sens. Environ.
, vol.113
, pp. 2533-2546
-
-
Martinuzzi, S.1
-
16
-
-
78650731656
-
Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests
-
L. Guo et al., "Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests," ISPRS J. Photogramm. Remote Sens. 66, 56-66 (2011).
-
(2011)
ISPRS J. Photogramm. Remote Sens.
, vol.66
, pp. 56-66
-
-
Guo, L.1
-
17
-
-
84867069504
-
Impact of reducing polarimetric SAR input on the uncertainty of crop classifications based on the random forests algorithm
-
L. Loosvelt et al., "Impact of reducing polarimetric SAR input on the uncertainty of crop classifications based on the random forests algorithm," IEEE Trans. Geosci. Remote Sens. 50, 4185-4200 (2012).
-
(2012)
IEEE Trans. Geosci. Remote Sens.
, vol.50
, pp. 4185-4200
-
-
Loosvelt, L.1
-
18
-
-
84878129639
-
Automatic grain type classification of snow micro penetrometer signals with random forests
-
S. Havens et al., "Automatic grain type classification of snow micro penetrometer signals with random forests," IEEE Trans. Geosci. Remote Sens. 51, 3328-3335 (2012).
-
(2012)
IEEE Trans. Geosci. Remote Sens.
, vol.51
, pp. 3328-3335
-
-
Havens, S.1
-
19
-
-
84876300410
-
Integration of orthoimagery and lidar data for object-based urban thematic mapping using random forests
-
H. Guan et al., "Integration of orthoimagery and lidar data for object-based urban thematic mapping using random forests," Int. J. Remote Sens. 34, 5166-5186 (2013).
-
(2013)
Int. J. Remote Sens.
, vol.34
, pp. 5166-5186
-
-
Guan, H.1
-
20
-
-
84926215991
-
Predictive lithological mapping of Canada's North using Random Forest classification applied to geophysical and geochemical data
-
J. R. Harris and E. C. Grunsky, "Predictive lithological mapping of Canada's North using Random Forest classification applied to geophysical and geochemical data," Comput. Geosci. 80, 9-25 (2015).
-
(2015)
Comput. Geosci.
, vol.80
, pp. 9-25
-
-
Harris, J.R.1
Grunsky, E.C.2
-
21
-
-
84910068767
-
Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines)
-
E. J. M. Carranza and A. G. Laborte, "Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines)," Comput. Geosci. 74, 60-70 (2015).
-
(2015)
Comput. Geosci.
, vol.74
, pp. 60-70
-
-
Carranza, E.J.M.1
Laborte, A.G.2
-
23
-
-
84945564600
-
Monotonic random forest with an ensemble pruning mechanism based on the degree of monotonicity
-
S. Gonz'alez, F. Herrera, and S. Garc'ia, "Monotonic random forest with an ensemble pruning mechanism based on the degree of monotonicity," New Gener. Comput. 33, 367-388 (2015).
-
(2015)
New Gener. Comput.
, vol.33
, pp. 367-388
-
-
Gonz'Alez, S.1
Herrera, F.2
Garc'Ia, S.3
-
24
-
-
84949501321
-
Random forest for ordinal responses: Prediction and variable selection
-
S. Janitza, G. Tutz, and A.-L. Boulesteixa, "Random forest for ordinal responses: prediction and variable selection," Comput. Stat. Data Anal. 96, 57-73 (2016).
-
(2016)
Comput. Stat. Data Anal.
, vol.96
, pp. 57-73
-
-
Janitza, S.1
Tutz, G.2
Boulesteixa, A.-L.3
-
25
-
-
80053932755
-
Improving the classification accuracy of the classic RF method by intelligent feature selection and weighted voting of trees with application to medical image segmentation
-
M. Yaqub et al., "Improving the classification accuracy of the classic RF method by intelligent feature selection and weighted voting of trees with application to medical image segmentation," in Proc. of the Second Int. Conf. on Machine learning in medical imaging (MLMI 2011), pp. 184-192 (2011).
-
(2011)
Proc. of the Second Int. Conf. on Machine Learning in Medical Imaging (MLMI 2011
, pp. 184-192
-
-
Yaqub, M.1
-
26
-
-
84988921686
-
Tree selection model for improved random forest
-
(in Chinese
-
Q. Wang et al., "Tree selection model for improved random forest," Bull. Adv. Technol. Res. 6, 51-55 (2012) (in Chinese).
-
(2012)
Bull. Adv. Technol. Res.
, vol.6
, pp. 51-55
-
-
Wang, Q.1
-
27
-
-
84988455086
-
Improving classification accuracy based on random forest model with uncorrelated high performing trees
-
S. Bharathidason and C. J. Venkataeswaran, "Improving classification accuracy based on random forest model with uncorrelated high performing trees," Int. J. Comput. Appl. 101, 26-30 (2014).
-
(2014)
Int. J. Comput. Appl.
, vol.101
, pp. 26-30
-
-
Bharathidason, S.1
Venkataeswaran, C.J.2
-
28
-
-
0036567392
-
Ensembling neural networks: Many could be better than all
-
Z. H. Zhou, J. Wu, and W. Tang, "Ensembling neural networks: many could be better than all," Artif. Intell. 137, 239-263 (2002).
-
(2002)
Artif. Intell.
, vol.137
, pp. 239-263
-
-
Zhou, Z.H.1
Wu, J.2
Tang, W.3
-
29
-
-
33745794076
-
Ensemble pruning via semi-definite programming
-
Y. Zhang, S. Burer, and W. N. Street, "Ensemble pruning via semi-definite programming," J. Mach. Learn. Res. 7, 1315-1338 (2006).
-
(2006)
J. Mach. Learn. Res.
, vol.7
, pp. 1315-1338
-
-
Zhang, Y.1
Burer, S.2
Street, W.N.3
-
30
-
-
77956456333
-
Sparse ensembles using weighted combination methods based on linear programming
-
L. Zhang and W. D. Zhou, "Sparse ensembles using weighted combination methods based on linear programming," Pattern Recognit. 44, 97-106 (2011).
-
(2011)
Pattern Recognit.
, vol.44
, pp. 97-106
-
-
Zhang, L.1
Zhou, W.D.2
-
32
-
-
0035478854
-
Random forests
-
L. Breiman, "Random forests," Mach. Learn. 45, 5-32 (2001).
-
(2001)
Mach. Learn.
, vol.45
, pp. 5-32
-
-
Breiman, L.1
-
33
-
-
0030211964
-
Bagging predictors
-
L. Breiman, "Bagging predictors," Mach. Learn. 24, 123-140 (1996).
-
(1996)
Mach. Learn.
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
34
-
-
84872783379
-
Design and implementation of an algorithm for automatic 3D reconstruction of building models using genetic algorithm
-
M. Kabolizade, H. Ebadi, and A. Mohammadzadeh, "Design and implementation of an algorithm for automatic 3D reconstruction of building models using genetic algorithm," Int. J. Appl. Earth Obs. Geoinf. 19, 104-114 (2012).
-
(2012)
Int. J. Appl. Earth Obs. Geoinf.
, vol.19
, pp. 104-114
-
-
Kabolizade, M.1
Ebadi, H.2
Mohammadzadeh, A.3
-
35
-
-
36348996568
-
Rational function optimization using genetic algorithms
-
M. J Valadan Zoej et al., "Rational function optimization using genetic algorithms," Int. J. Appl. Earth Obs. Geoinf. 9, 403-413 (2007).
-
(2007)
Int. J. Appl. Earth Obs. Geoinf.
, vol.9
, pp. 403-413
-
-
Valadan Zoej, M.J.1
-
36
-
-
84943647909
-
Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data
-
A. Ramoelo et al., "Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data," Int. J. Appl. Earth Obs. Geoinf. 43, 43-54 (2015).
-
(2015)
Int. J. Appl. Earth Obs. Geoinf.
, vol.43
, pp. 43-54
-
-
Ramoelo, A.1
-
37
-
-
79955639907
-
Water body mapping method with HJ-1A/B satellite imagery
-
S. L. Lu et al., "Water body mapping method with HJ-1A/B satellite imagery," Int. J. Appl. Earth Obs. Geoinf. 13, 428-434 (2011).
-
(2011)
Int. J. Appl. Earth Obs. Geoinf.
, vol.13
, pp. 428-434
-
-
Lu, S.L.1
-
38
-
-
41249103454
-
Mapping land-cover modifications over large areas: A comparison of machine learning algorithms
-
J. Rogan et al., "Mapping land-cover modifications over large areas: a comparison of machine learning algorithms," Remote Sens. Environ. 112, 2272-2283 (2008).
-
(2008)
Remote Sens. Environ.
, vol.112
, pp. 2272-2283
-
-
Rogan, J.1
-
39
-
-
84899120986
-
Distribution information extraction of rubber woods using remote sensing images with high resolution
-
(in Chinese
-
H. W. Yang and X. H. Tong, "Distribution information extraction of rubber woods using remote sensing images with high resolution," Geom. Inf. Sci. Wuhan Univ. 39, 411-421 (2014) (in Chinese).
-
(2014)
Geom. Inf. Sci. Wuhan Univ.
, vol.39
, pp. 411-421
-
-
Yang, H.W.1
Tong, X.H.2
-
40
-
-
0030136491
-
The use of the normalized difference water index (NDWI) in the delineation of open water features
-
S. K. McFeeters, "The use of the normalized difference water index (NDWI) in the delineation of open water features," Int. J. Remote Sens. 17, 1425-1432 (1996).
-
(1996)
Int. J. Remote Sens.
, vol.17
, pp. 1425-1432
-
-
McFeeters, S.K.1
-
41
-
-
77958074350
-
A study on environmental change analysis in Sand Hill of Nebraska using remote sensing
-
(in Chinese
-
Y. S. Zhao, "A study on environmental change analysis in Sand Hill of Nebraska using remote sensing," Geograp. Res. 20, 213-219 (2001) (in Chinese).
-
(2001)
Geograp. Res.
, vol.20
, pp. 213-219
-
-
Zhao, Y.S.1
-
43
-
-
84897442036
-
Modeling multiple land use changes using ANN, CART and MARS: Comparing tradeoffs in goodness of fit and explanatory power of data mining tools
-
A. Tayyebi and B. C. Pijanowski, "Modeling multiple land use changes using ANN, CART and MARS: comparing tradeoffs in goodness of fit and explanatory power of data mining tools," Int. J. Appl. Earth Obs. Geoinf. 28, 102-116 (2014).
-
(2014)
Int. J. Appl. Earth Obs. Geoinf.
, vol.28
, pp. 102-116
-
-
Tayyebi, A.1
Pijanowski, B.C.2
|