-
1
-
-
0003684449
-
-
New York NY USA: Springer-Verlag
-
T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning-Data Mining, Inference, and Prediction. New York, NY, USA: Springer-Verlag, 2009.
-
(2009)
The Elements of Statistical Learning-Data Mining Inference and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
2
-
-
30344471525
-
-
Random Forests for land cover classification Mar.
-
P. O. Gislason, J. A. Benediktsson, and J. R. Sveinsson, "Random Forests for land cover classification," Pattern Recogn. Lett., vol. 27, no. 4, pp. 294-300, Mar. 2006.
-
(2006)
Pattern Recogn. Lett.
, vol.27
, Issue.4
, pp. 294-300
-
-
Gislason, P.O.1
Benediktsson, J.A.2
Sveinsson, J.R.3
-
3
-
-
20444432773
-
Kernel-based methods for hyperspectral image classification
-
DOI 10.1109/TGRS.2005.846154
-
G. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 6, pp. 1351-1362, Jun. 2005. (Pubitemid 40811944)
-
(2005)
IEEE Transactions on Geoscience and Remote Sensing
, vol.43
, Issue.6
, pp. 1351-1362
-
-
Camps-Valls, G.1
Bruzzone, L.2
-
4
-
-
12844286965
-
Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data
-
Jan.
-
L. Bruzzone and F. Melgani, "Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data," IEEE Trans. Geosci. Remote Sens., vol. 43, pp. 159-174, Jan. 2005.
-
(2005)
IEEE Trans. Geosci. Remote Sens.
, vol.43
, pp. 159-174
-
-
Bruzzone, L.1
Melgani, F.2
-
5
-
-
33746606930
-
Robust support vector regression for biophysical variable estimation from remotely sensed images
-
DOI 10.1109/LGRS.2006.871748, 1658001
-
G. Camps-Valls, L. Bruzzone, J. L. Rojo-Alvarez, and F. Melgani, "Robust support vector regression for biophysical variable estimation from remotely sensed images," IEEE Geosci. Remote Sens. Lett., vol. 3, no. 3, pp. 339-343, Jul. 2006. (Pubitemid 44150320)
-
(2006)
IEEE Geoscience and Remote Sensing Letters
, vol.3
, Issue.3
, pp. 339-343
-
-
Camps-Valls, G.1
Bruzzone, L.2
Rojo-Alvarez, J.L.3
Melgani, F.4
-
6
-
-
44049084715
-
Kernel-based framework for multitemporal and multisource remote sensing data classification and change detection
-
DOI 10.1109/TGRS.2008.916201, 4509590
-
G. Camps-Valls, L. Gomez-Chova, J. Munoz-Mari, J. L. Rojo-Alvarez, and M. Martinez-Ramon, "Kernel-based framework for multitemporal and multisource remote sensing data classification and change detection," IEEE Trans. Geosci. Remote Sens., vol. 46, pp. 1822-1835, Jun. 2008. (Pubitemid 351711220)
-
(2008)
IEEE Transactions on Geoscience and Remote Sensing
, vol.46
, Issue.6
, pp. 1822-1835
-
-
Camps-Valls, G.1
Gomez-Chova, L.2
Munoz-Mari, J.3
Rojo-Alvarez, J.L.4
Martinez-Ramon, M.5
-
7
-
-
33746885881
-
A support vector method for anomaly detection in hyperspectral imagery
-
DOI 10.1109/TGRS.2006.873019, 1661816
-
A. Banerjee, P. Burlina, and C. Diehl, "A support vector method for anomaly detection in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 8, pp. 2282-2291, Aug. 2006. (Pubitemid 44192167)
-
(2006)
IEEE Transactions on Geoscience and Remote Sensing
, vol.44
, Issue.8
, pp. 2282-2291
-
-
Banerjee, A.1
Burlina, P.2
Diehl, C.3
-
8
-
-
57049102289
-
Benchmarking classifiers to optimally integrate terrain analysis and multispectral remote sensing in automatic rock glacier detection
-
Jan.
-
A. Brenning, "Benchmarking classifiers to optimally integrate terrain analysis and multispectral remote sensing in automatic rock glacier detection," Remote Sens. Environ., vol. 113, no. 1, pp. 239-247, Jan. 2009.
-
(2009)
Remote Sens. Environ.
, vol.113
, Issue.1
, pp. 239-247
-
-
Brenning, A.1
-
9
-
-
79960743609
-
Object-oriented mapping of landslides using Random Forests
-
Oct.
-
A. Stumpf and N. Kerle, "Object-oriented mapping of landslides using Random Forests," Remote Sens. Environ., vol. 115, no. 10, pp. 2564-2577, Oct. 2011.
-
(2011)
Remote Sens. Environ.
, vol.115
, Issue.10
, pp. 2564-2577
-
-
Stumpf, A.1
Kerle, N.2
-
10
-
-
84898598691
-
Active Learning
-
C. Sammut and G. Webb, Eds. New York, NY, USA: Springer-Verlag
-
D. Cohn, "Active Learning," in Encyclopedia of Machine Learning, C. Sammut and G. Webb, Eds. New York, NY, USA: Springer-Verlag, 2011, pp. 10-14.
-
(2011)
Encyclopedia of Machine Learning
, pp. 10-14
-
-
Cohn, D.1
-
11
-
-
68949137209
-
-
Univ. Wisconsin-Madison,Wisconsin,MI, USA, Computer SciencesTech.Rep.
-
B. Settles, "Active Learning Literature Survey," Univ. Wisconsin-Madison,Wisconsin,MI, USA, Computer SciencesTech.Rep. 1648, 2010.
-
(2010)
Active Learning Literature Survey
, pp. 1648
-
-
Settles, B.1
-
12
-
-
85013879626
-
A sequential algorithm for training text classifiers
-
Dublin, Ireland
-
D. Lewis and W. Gale, "A sequential algorithm for training text classifiers," in Proc. 17th Int. ACM SIGIR Conf. Res. Develop. Inf. Retrieval, Dublin, Ireland, 1994, pp. 3-12.
-
(1994)
Proc. 17th Int. ACM SIGIR Conf. Res. Develop. Inf. Retrieval
, pp. 3-12
-
-
Lewis, D.1
Gale, W.2
-
13
-
-
0007696417
-
Less is more: Active learning with support vectors machines
-
G. Schohn and D. Cohn, "Less is more: Active learning with support vectors machines," in Proc. 17th Int. Conf. Mach. Learn., Stanford, CA, 2000, pp. 839-846.
-
(2000)
Proc. 17th Int. Conf. Mach. Learn., Stanford, CA
, pp. 839-846
-
-
Schohn, G.1
Cohn, D.2
-
14
-
-
0026981853
-
Query by committee
-
H. S. Seung, M. Opper, and H. Sompolinsky, "Query by committee," in Proc. 5th Workshop Comput. Learn. Theory, San Mateo, CA, 1992, pp. 287-294. (Pubitemid 23615454)
-
(1992)
Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory
, pp. 287-294
-
-
Seung, H.S.1
Opper, M.2
Sompolinsky, H.3
-
15
-
-
79957456032
-
A survey of active learning algorithms for supervised remote sensing image classification
-
Jun.
-
D. Tuia, M. Volpi, L. Copa, M. Kanevski, and J. Munoz-Mari, "A survey of active learning algorithms for supervised remote sensing image classification," IEEE J. Select. Topics Signal Process., vol. 5, no. 3, pp. 606-616, Jun. 2011.
-
(2011)
IEEE J. Select. Topics Signal Process.
, vol.5
, Issue.3
, pp. 606-616
-
-
Tuia, D.1
Volpi, M.2
Copa, L.3
Kanevski, M.4
Munoz-Mari, J.5
-
16
-
-
41549147912
-
An active learning approach to hyperspectral data classification
-
DOI 10.1109/TGRS.2007.910220, 4469868
-
S. Rajan, J. Ghosh, and M. M. Crawford, "An active learning approach to hyperspectral data classification," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 4, pp. 1231-1242, Apr. 2008. (Pubitemid 351459470)
-
(2008)
IEEE Transactions on Geoscience and Remote Sensing
, vol.46
, Issue.4
, pp. 1231-1242
-
-
Rajan, S.1
Ghosh, J.2
Crawford, M.M.3
-
17
-
-
67651183638
-
Active learning methods for remote sensing image classification
-
Jul.
-
D. Tuia, F. Ratle, F. Pacifici, M. F. Kanevski, and W. J. Emery, "Active learning methods for remote sensing image classification," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 7, pp. 2218-2232, Jul. 2009.
-
(2009)
IEEE Trans. Geosci. Remote Sens.
, vol.47
, Issue.7
, pp. 2218-2232
-
-
Tuia, D.1
Ratle, F.2
Pacifici, F.3
Kanevski, M.F.4
Emery, W.J.5
-
18
-
-
79952041537
-
Batch-mode active-learning methods for the interactive classification of remote sensing images
-
Mar.
-
B. Demir, C. Persello, and L. Bruzzone, "Batch-mode active-learning methods for the interactive classification of remote sensing images," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 3, pp. 1014-1031, Mar. 2011.
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, Issue.3
, pp. 1014-1031
-
-
Demir, B.1
Persello, C.2
Bruzzone, L.3
-
19
-
-
84864278874
-
Memory-based cluster sampling for remote sensing image classification
-
Aug.
-
M. Volpi, D. Tuia, andM. Kanevski, "Memory-based cluster sampling for remote sensing image classification," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 8, pp. 3096-3106, Aug. 2012.
-
(2012)
IEEE Trans. Geosci. Remote Sens.
, vol.50
, Issue.8
, pp. 3096-3106
-
-
Volpi, M.1
Tuia, D.2
Kanevski, M.3
-
20
-
-
84873124152
-
From theories to queries
-
Sardinia, Italy
-
B. Settles, "From theories to queries," in Proc. JMLR: Workshop Conf., Sardinia, Italy, 2011, pp. 1-8.
-
(2011)
Proc. JMLR: Workshop Conf.
, pp. 1-8
-
-
Settles, B.1
-
21
-
-
79952422319
-
Active learning with real annotation costs
-
B. Settles, M. Craven, and L. Friedland, "Active learning with real annotation costs," in Proc. NIPS Workshop Cost-Sensitive Learn., 2008, pp. 1-10.
-
(2008)
Proc. NIPS Workshop Cost-Sensitive Learn.
, pp. 1-10
-
-
Settles, B.1
Craven, M.2
Friedland, L.3
-
22
-
-
72749107951
-
Spatially cost-sensitive active learning
-
Sparks, NV, USA
-
A. Liu, G. Jun, and J. Gho, "Spatially cost-sensitive active learning," presented at the 9th SIAM Int. Conf. Data Mining Sparks, Sparks, NV, USA, 2009.
-
(2009)
9th SIAM Int. Conf. Data Mining Sparks
-
-
Liu, A.1
Jun, G.2
Gho, J.3
-
23
-
-
80955125287
-
Improving active learning methods using spatial information
-
E. Pasolli, F. Melgani, D. Tuia, F. Pacifici, and W. J. Emery, "Improving active learning methods using spatial information," in IEEE IGARSS, 2011, pp. 3923-3926.
-
(2011)
IEEE IGARSS
, pp. 3923-3926
-
-
Pasolli, E.1
Melgani, F.2
Tuia, D.3
Pacifici, F.4
Emery, W.J.5
-
25
-
-
84898599247
-
Active learning in the spatial-domain for landslide mapping in remote sensing images
-
Bristol, U.K.
-
A. Stumpf, N. Lachiche, J.-P. Malet, N. Kerle, and A. Puissant, "Active learning in the spatial-domain for landslide mapping in remote sensing images," presented at the ALRA: Active Learning Real-world Appl. Workshop ECML-PKDD, Bristol, U.K., 2012.
-
(2012)
ALRA: Active Learning Real-world Appl. Workshop ECML-PKDD
-
-
Stumpf, A.1
Lachiche, N.2
Malet, J.-P.3
Kerle, N.4
Puissant, A.5
-
26
-
-
84866702739
-
Scalable active learning for multiclass image classification
-
Nov.
-
A. J. Joshi, F. Porikli, and N. P. Papanikolopoulos, "Scalable active learning for multiclass image classification," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 11, pp. 2259-2273, Nov. 2012.
-
(2012)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.34
, Issue.11
, pp. 2259-2273
-
-
Joshi, A.J.1
Porikli, F.2
Papanikolopoulos, N.P.3
-
27
-
-
84898426416
-
Active learning using Dirichlet processes for rare class discovery and classification
-
Dundee, U.K.
-
T. S. F. Haines and T. Xiang, "Active learning using Dirichlet processes for rare class discovery and classification," in British Machine Vision Conf. Univ. Dundee, Dundee, U.K., 2011.
-
(2011)
British Machine Vision Conf. Univ. Dundee
-
-
Haines, T.S.F.1
Xiang, T.2
-
28
-
-
78650906363
-
Lazy yet efficient land-cover map generation for HR optical images
-
J. Michel, J. Malik, and J. Inglada, "Lazy yet efficient land-cover map generation for HR optical images," in Proc. IEEE IGARSS, 2010, pp. 1863-1866.
-
(2010)
Proc. IEEE IGARSS
, pp. 1863-1866
-
-
Michel, J.1
Malik, J.2
Inglada, J.3
-
29
-
-
85007073464
-
Active batch learning with stochastic query-by-forest (SQBF)
-
A. Borisov, E. Tuv, and G. Runger, "Active batch learning with stochastic query-by-forest (SQBF)," in Proc. JMLR Workshop Active Learn. Exp. Des., 2011, pp. 50-69.
-
(2011)
Proc. JMLR Workshop Active Learn. Exp. Des.
, pp. 50-69
-
-
Borisov, A.1
Tuv, E.2
Runger, G.3
-
30
-
-
84867060971
-
Semisupervised classification of remote sensing images with active queries
-
Oct.
-
J. Muñoz-Mar?á, D. Tuia, and G. Camps-Valls, "Semisupervised classification of remote sensing images with active queries," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 10, pp. 3751-3763, Oct. 2012.
-
(2012)
IEEE Trans. Geosci. Remote Sens.
, vol.50
, Issue.10
, pp. 3751-3763
-
-
Muñoz-Mará, J.1
Tuia, D.2
Camps-Valls, G.3
-
31
-
-
84857046663
-
Remote sensing image segmentation by active queries
-
Jun.
-
D. Tuia, J. Muñoz-Marí, and G. Camps-Valls, "Remote sensing image segmentation by active queries," Pattern Recognit., vol. 45, no. 6, pp. 2180-2192, Jun. 2012.
-
(2012)
Pattern Recognit.
, vol.45
, Issue.6
, pp. 2180-2192
-
-
Tuia, D.1
Muñoz-Marí, J.2
Camps-Valls, G.3
-
32
-
-
84873177815
-
A cost-sensitive active learning technique for the definition of effective training sets for supervised classifiers
-
B. Demir, L. Minello, and L. Bruzzone, "A cost-sensitive active learning technique for the definition of effective training sets for supervised classifiers," in Proc. IEEE IGARSS, 2012, pp. 1781-1784.
-
(2012)
Proc. IEEE IGARSS
, pp. 1781-1784
-
-
Demir, B.1
Minello, L.2
Bruzzone, L.3
-
33
-
-
0035478854
-
Random forests
-
DOI 10.1023/A:1010933404324
-
L. Breiman, "Random forests," Mach. Learn., vol. 45, no. 1, pp. 5-32, Oct. 2001. (Pubitemid 32933532)
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
34
-
-
78649738931
-
Unbiased query-bybagging active learning for VHR image classification
-
L. Copa, D. Tuia, M. Volpi, and M. Kanevski, "Unbiased query-bybagging active learning for VHR image classification," in Proc. SPIE Remote Sensing Conf., Toulouse, France, 2010, p. 78300K.
-
(2010)
Proc. SPIE Remote Sensing Conf., Toulouse, France
-
-
Copa, L.1
Tuia, D.2
Volpi, M.3
Kanevski, M.4
-
35
-
-
35248825961
-
Representative sampling for text classification using support vector machines
-
Pisa, Italy
-
Z. Xu, K. Yu, V. Tresp, X. Xu, and J. Wang, "Representative sampling for text classification using support vector machines," in Proc. 25th Eur. Conf. Inf. Retrieval Res., Pisa, Italy, 2003, pp. 393-407.
-
(2003)
Proc. 25th Eur. Conf. Inf. Retrieval Res.
, pp. 393-407
-
-
Xu, Z.1
Yu, K.2
Tresp, V.3
Xu, X.4
Wang, J.5
-
36
-
-
46749133557
-
KNN-based high-dimensional Kullback-Leibler distance for tracking
-
S. Boltz, E. Debreuve, and M. Barlaud, "kNN-based high-dimensional Kullback-Leibler distance for tracking," in Proc. 8th Int. WIAMIS, 2007, p. 16.
-
(2007)
In Proc. 8th Int. WIAMIS
, pp. 16
-
-
Boltz, S.1
Debreuve, E.2
Barlaud, M.3
-
37
-
-
84898600403
-
FNN: Fast nearest neighbor search algorithms and applications 2012
-
R package version 0.6-3
-
R package version 0.6-3 S. Li, FNN: Fast nearest neighbor search algorithms and applications 2012, R package version 0.6-3.
-
R Package Version 0.6-3
-
-
Li, S.1
-
38
-
-
33847096395
-
Bias in random forest variable importance measures: Illustrations, sources and a solution
-
Jan.
-
C. Strobl, A.-L. Boulesteix, A. Zeileis, and T. Hothorn, "Bias in random forest variable importance measures: Illustrations, sources and a solution," BMC Bioinformat., vol. 8, p. 25, Jan. 2007.
-
(2007)
BMC Bioinformat.
, vol.8
, pp. 25
-
-
Strobl, C.1
Boulesteix, A.-L.2
Zeileis, A.3
Hothorn, T.4
-
39
-
-
77949388276
-
The behaviour of random forest permutation-based variable importance measures under predictor correlation
-
Feb.
-
K. Nicodemus, J. Malley, C. Strobl, and A. Ziegler, "The behaviour of random forest permutation-based variable importance measures under predictor correlation," BMC Bioinformat., vol. 11, p. 110, Feb. 2010.
-
(2010)
BMC Bioinformat.
, vol.11
, pp. 110
-
-
Nicodemus, K.1
Malley, J.2
Strobl, C.3
Ziegler, A.4
-
40
-
-
77958064179
-
Mining data with random forests: A survey and results of new tests
-
Feb.
-
A. Verikas, A. Gelzinis, and M. Bacauskiene, "Mining data with random forests: A survey and results of new tests," Pattern Recognit., vol. 44, no. 2, pp. 330-349, Feb. 2011.
-
(2011)
Pattern Recognit.
, vol.44
, Issue.2
, pp. 330-349
-
-
Verikas, A.1
Gelzinis, A.2
Bacauskiene, M.3
-
41
-
-
82255174148
-
Letter to the Editor: On the stability and ranking of predictors from random forest variable importance measures
-
Jul. 1
-
K. K. Nicodemus, "Letter to the Editor: On the stability and ranking of predictors from random forest variable importance measures," Briefings Bioinformat., vol. 12, no. 4, pp. 369-373, Jul. 1, 2011.
-
(2011)
Briefings Bioinformat.
, vol.12
, Issue.4
, pp. 369-373
-
-
Nicodemus, K.K.1
-
43
-
-
77956741729
-
An R package for spatial coverage sampling and random sampling from compact geographical strata by k-means
-
Oct.
-
D. J. J. Walvoort, D. J. Brus, and J. J. de Gruijter, "An R package for spatial coverage sampling and random sampling from compact geographical strata by k-means," Comput. Geosci., vol. 36, no. 10, pp. 1261-1267, Oct. 2010.
-
(2010)
Comput. Geosci.
, vol.36
, Issue.10
, pp. 1261-1267
-
-
Walvoort, D.J.J.1
Brus, D.J.2
De Gruijter, J.J.3
-
44
-
-
0001025146
-
Query learning strategies using boosting and bagging
-
Madison, WI, USA
-
N. Abe and H. Mamitsuka, "Query learning strategies using boosting and bagging," in Proc. 15th Int. Conf. Mach. Learn., Madison, WI, USA, 1998, pp. 1-9.
-
(1998)
Proc. 15th Int. Conf. Mach. Learn.
, pp. 1-9
-
-
Abe, N.1
Mamitsuka, H.2
-
45
-
-
84898600404
-
M.B.
-
Brazil Janeiro De Rio Of Range Mountainous The In Landslides Catastrophic Recent The Of Mechanisms Mendonça,Rome, Italy
-
A. S. Avelar, A. L. C. Netto, W. A. Lacerda, L. B. Becker, and M. B. Mendonça, "Mechanisms of the recent catastrophic landslides in the mountainous range of Rio de Janeiro, Brazil," presented at the 2nd World Landslide Forum, Rome, Italy, 2011.
-
(2011)
2nd World Landslide Forum
-
-
Avelar, A.S.1
Netto, A.L.C.2
Lacerda, W.A.3
Becker, L.B.4
-
46
-
-
80052489984
-
Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008 Wenchuan earthquake
-
Oct.
-
T. Gorum, X. Fan, C. J. van Westen, R. Q. Huang, Q. Xu, C. Tang, and G.Wang, "Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008 Wenchuan earthquake," Geomorphology, vol. 133, no. 3/4, pp. 152-167, Oct. 2011.
-
(2011)
Geomorphology
, vol.133
, Issue.3-4
, pp. 152-167
-
-
Gorum, T.1
Fan, X.2
Van Westen, C.J.3
Huang, R.Q.4
Xu, Q.5
Tang, C.6
Wang, G.7
-
47
-
-
84859427372
-
Sentinel-2: ESA's optical highresolution mission for GMES operational services
-
May
-
M. Drusch, U. Del Bello, S. Carlier, O. Colin, V. Fernandez, F. Gascon, B. Hoersch, C. Isola, P. Laberinti, P. Martimort, A. Meygret, F. Spoto, O. Sy, F. Marchese, and P. Bargellini, "Sentinel-2: ESA's optical highresolution mission for GMES operational services," Remote Sens. Environ., vol. 120, pp. 25-36, May 2012.
-
(2012)
Remote Sens. Environ.
, vol.120
, pp. 25-36
-
-
Drusch, M.1
Del Bello, U.2
Carlier, S.3
Colin, O.4
Fernandez, V.5
Gascon, F.6
Hoersch, B.7
Isola, C.8
Laberinti, P.9
Martimort, P.10
Meygret, A.11
Spoto, F.12
Sy, O.13
Marchese, F.14
Bargellini, P.15
-
48
-
-
84898602430
-
-
ASTER-GDEM-VALIDATION-TEAM, ASTER global digital elevation model version2-Summaryof validation results, METI/ERSDAC, NASA/LPDAAC, USGS/EROS2011
-
ASTER-GDEM-VALIDATION-TEAM, ASTER global digital elevation model version2-Summaryof validation results,METI/ERSDAC, NASA/LPDAAC, USGS/EROS2011.
-
-
-
-
49
-
-
3342878970
-
Multivariable geostatistics in S: The gstat package
-
DOI 10.1016/j.cageo.2004.03.012, PII S0098300404000676
-
E. J. Pebesma, "Multivariable geostatistics in S: The gstat package," Comput. Geosci., vol. 30, no. 7, pp. 683-691, Aug. 2004. (Pubitemid 38994762)
-
(2004)
Computers and Geosciences
, vol.30
, Issue.7
, pp. 683-691
-
-
Pebesma, E.J.1
-
50
-
-
0141896842
-
Impact of mapping errors on the reliability of landslide hazard maps
-
F. Ardizzone, M. Cardinali, A. Carrara, F. Guzzetti, and P. Reichenbach, "Impact of mapping errors on the reliability of landslide hazard maps," Nat. Hazards Earth Syst. Sci., vol. 2, no. 1/2, pp. 3-14, 2002.
-
(2002)
Nat. Hazards Earth Syst. Sci.
, vol.2
, Issue.1-2
, pp. 3-14
-
-
Ardizzone, F.1
Cardinali, M.2
Carrara, A.3
Guzzetti, F.4
Reichenbach, P.5
-
51
-
-
38349156500
-
Comparing landslide inventory maps
-
Feb.
-
M. Galli, F. Ardizzone, M. Cardinali, F. Guzzetti, and P. Reichenbach, "Comparing landslide inventory maps," Geomorphology, vol. 94, no. 3/4, pp. 268-289, Feb. 2008.
-
(2008)
Geomorphology
, vol.94
, Issue.3-4
, pp. 268-289
-
-
Galli, M.1
Ardizzone, F.2
Cardinali, M.3
Guzzetti, F.4
Reichenbach, P.5
-
52
-
-
0030262498
-
Bounds on the mean classification error rate of multiple experts
-
DOI 10.1016/0167-8655(96)00105-5, PII S0167865596001055
-
P. Smyth, "Bounds on the mean classification error rate of multiple experts," Pattern Recognit. Lett., vol. 17, no. 12, pp. 1253-1257, Oct. 1996. (Pubitemid 126384221)
-
(1996)
Pattern Recognition Letters
, vol.17
, Issue.12
, pp. 1253-1257
-
-
Smyth, P.1
-
53
-
-
84898600405
-
-
arXiv:1307.0426 [cs.CV]
-
T. A. Lampert, A. Stumpf, and P. Gançarski, "An Empirical Study into Annotator Agreement, Ground Truth Estimation, and Algorithm Evaluation," arXiv:1307.0426 [cs.CV], 2013.
-
(2013)
An Empirical Study into Annotator Agreement, Ground Truth Estimation, and Algorithm Evaluation
-
-
Lampert, T.A.1
Stumpf, A.2
Gançarski, P.3
-
54
-
-
68549133155
-
Learning from imbalanced data
-
Sep.
-
H. He and E. A. Garcia, "Learning from imbalanced data," IEEE Trans. Know. Data Eng., vol. 21, no. 9, pp. 1263-1284, Sep. 2009.
-
(2009)
IEEE Trans. Know. Data Eng.
, vol.21
, Issue.9
, pp. 1263-1284
-
-
He, H.1
Garcia, E.A.2
-
56
-
-
0001812168
-
Multiresolution Segmentation-An optimization approach for high quality multi-scale image segmentation
-
Salzburg, Austria
-
M. Baatz and A. Schäpe, "Multiresolution Segmentation-An optimization approach for high quality multi-scale image segmentation," presented at the Angewandte Geographische Informationsverarbeitung XII, Salzburg, Austria, 2000.
-
(2000)
Angewandte Geographische Informationsverarbeitung
, vol.12
-
-
Baatz, M.1
Schäpe, A.2
-
57
-
-
82155192323
-
Segment optimization and data-driven thresholding for knowledge-based landslide detection by object-based image analysis
-
Dec.
-
T. R. Martha, N. Kerle, C. J. van Westen, V. Jetten, and K. V. Kumar, "Segment optimization and data-driven thresholding for knowledge-based landslide detection by object-based image analysis," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 12, pp. 4928-4943, Dec. 2011.
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, Issue.12
, pp. 4928-4943
-
-
Martha, T.R.1
Kerle, N.2
Van Westen, C.J.3
Jetten, V.4
Kumar, K.V.5
-
58
-
-
75749106964
-
Characterising spectral, spatial and morphometric properties of landslides for semiautomatic detection using object-oriented methods
-
Mar.
-
T. Martha, N. Kerle, C. J. van Westen, and K. Kumar, "Characterising spectral, spatial and morphometric properties of landslides for semiautomatic detection using object-oriented methods," Geomorphology, vol. 116, no. 1/2, pp. 24-36, Mar. 2010.
-
(2010)
Geomorphology
, vol.116
, Issue.1-2
, pp. 24-36
-
-
Martha, T.1
Kerle, N.2
Van Westen, C.J.3
Kumar, K.4
-
59
-
-
0024105735
-
Extracting topographic structure from digital elevation data for geographic information system analysis
-
S. K. Jenson and J. O. Domingue, "Extracting topographic structure from digital elevation data for geographic information system analysis," Photgramm. Eng. Remote Sens., vol. 54, no. 11, pp. 1593-1600, 1988.
-
(1988)
Photgramm. Eng. Remote Sens.
, vol.54
, Issue.11
, pp. 1593-1600
-
-
Jenson, S.K.1
Domingue, J.O.2
-
60
-
-
84855485243
-
Extraction of hydrological proximity measures from DEMs using parallel processing
-
Dec.
-
T. K. Tesfa, D. G. Tarboton, D. W. Watson, K. A. T. Schreuders, M. E. Baker, and R. M. Wallace, "Extraction of hydrological proximity measures from DEMs using parallel processing," Environ. Modell. Softw., vol. 26, no. 12, pp. 1696-1709, Dec. 2011.
-
(2011)
Environ. Modell. Softw.
, vol.26
, Issue.12
, pp. 1696-1709
-
-
Tesfa, T.K.1
Tarboton, D.G.2
Watson, D.W.3
Schreuders, K.A.T.4
Baker, M.E.5
Wallace, R.M.6
-
62
-
-
1542442242
-
An assessment of Landsat TM based band 6 thermal data for analysing land cover in tropical dry forest regions
-
J. Southworth, "An assessment of Landsat TM band 6 thermal data for analysing land cover in tropical dry forest regions," Int. J. Remote Sens., vol. 25, no. 4, pp. 689-706, Feb. 2004. (Pubitemid 38329661)
-
(2004)
International Journal of Remote Sensing
, vol.25
, Issue.4
, pp. 689-706
-
-
Southworth, J.1
-
63
-
-
20444392475
-
Using random forest to learn imbalanced data
-
Unive. California, Berkeley, CA, USA
-
C. Chen, A. Liaw, and L. Breiman, "Using random forest to learn imbalanced data," Dept. Statistics, Unive. California, Berkeley, CA, USA, 2004.
-
(2004)
Dept. Statistics
-
-
Chen, C.1
Liaw, A.2
Breiman, L.3
-
64
-
-
38049174973
-
-
J. Martí, J. Benedí, A. Mendonça, and J. Serrat, Eds. Berlin, Gemany: Springer-Verlag
-
V. García, R. Mollineda, J. Sánchez, R. Alejo, and J. Sotoca, When Overlapping Unexpectedly Alters the Class Imbalance Effects, J. Martí, J. Benedí, A. Mendonça, and J. Serrat, Eds. Berlin, Gemany: Springer-Verlag, 2007, pp. 499-506.
-
(2007)
When Overlapping Unexpectedly Alters the Class Imbalance Effects
, pp. 499-506
-
-
García, V.1
Mollineda, R.2
Sánchez, J.3
Alejo, R.4
Sotoca, J.5
-
65
-
-
77955275042
-
Assessing the accuracy of land cover change with imperfect ground reference data
-
Oct.
-
G. M. Foody, "Assessing the accuracy of land cover change with imperfect ground reference data," Remote Sens. Environ., vol. 114, no. 10, pp. 2271-2285, Oct. 2010.
-
(2010)
Remote Sens. Environ.
, vol.114
, Issue.10
, pp. 2271-2285
-
-
Foody, G.M.1
|