-
1
-
-
0034010010
-
Estimation of sub-pixel land cover composition in the presence of untrained classes
-
G. M. Foody, "Estimation of sub-pixel land cover composition in the presence of untrained classes," Comput. Geosci. 26(4), 469-478 (2000).
-
(2000)
Comput. Geosci
, vol.26
, Issue.4
, pp. 469-478
-
-
Foody, G.M.1
-
2
-
-
62349132975
-
Increasing the accuracy of neural network classification using refined training data
-
T. Kavzoglu, "Increasing the accuracy of neural network classification using refined training data," Environ. Modell. Software 24(7), 850-858 (2009).
-
(2009)
Environ. Modell. Software
, vol.24
, Issue.7
, pp. 850-858
-
-
Kavzoglu, T.1
-
3
-
-
85003756283
-
Satellite image classification using genetic algorithm trained radial basis function neural network, application to the detection of flooded areas
-
A. Singh and K. K. Singh, "Satellite image classification using genetic algorithm trained radial basis function neural network, application to the detection of flooded areas," J. Visual Commun. Image Representation 42, 173-182 (2017).
-
(2017)
J. Visual Commun. Image Representation
, vol.42
, pp. 173-182
-
-
Singh, A.1
Singh, K.K.2
-
4
-
-
0027334540
-
Linear mixing and the estimation of ground cover proportions
-
J. J. Settle and N. A. Drake, "Linear mixing and the estimation of ground cover proportions," Int. J. Remote Sens. 14(6), 1159-1177 (1993).
-
(1993)
Int. J. Remote Sens
, vol.14
, Issue.6
, pp. 1159-1177
-
-
Settle, J.J.1
Drake, N.A.2
-
5
-
-
33845867821
-
-
Springer, Heidelberg
-
M. Köhl, S. Magnussen, and M. Marchetti, Sampling Methods, Remote Sensing, and GIS Multiresource Forest Inventory, Springer, Heidelberg (2006).
-
(2006)
Sampling Methods, Remote Sensing, and GIS Multiresource Forest Inventory
-
-
Köhl, M.1
Magnussen, S.2
Marchetti, M.3
-
6
-
-
84962563851
-
Mapping complex urban land cover from spaceborne imagery: The influence of spatial resolution, spectral band set and classification approach
-
R. Momeni, P. Aplin, and D. Boyd, "Mapping complex urban land cover from spaceborne imagery: the influence of spatial resolution, spectral band set and classification approach," Remote Sens. 8(2), 88 (2016).
-
(2016)
Remote Sens
, vol.8
, Issue.2
, pp. 88
-
-
Momeni, R.1
Aplin, P.2
Boyd, D.3
-
7
-
-
77951189897
-
ESP: A tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data
-
L. Dr?gut, D. Tiede, and S. R. Levick, "ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data," Int. J. Geog. Inf. Sci. 24(6), 859-871 (2010).
-
(2010)
Int. J. Geog. Inf. Sci
, vol.24
, Issue.6
, pp. 859-871
-
-
Drgut, L.1
Tiede, D.2
Levick, S.R.3
-
8
-
-
84874537432
-
Advances in very-high-resolution remote sensing
-
J. A. Benediktsson, J. Chanussot, and W. M. Moon, "Advances in very-high-resolution remote sensing," Proc. IEEE 101(3), 566-569 (2013).
-
(2013)
Proc. IEEE
, vol.101
, Issue.3
, pp. 566-569
-
-
Benediktsson, J.A.1
Chanussot, J.2
Moon, W.M.3
-
9
-
-
84979511076
-
Parameter-based performance analysis of object-based image analysis using aerial and Quikbird-2 images
-
T. Kavzoglu and M. Yildiz, "Parameter-based performance analysis of object-based image analysis using aerial and Quikbird-2 images," in ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 2, No. 7, pp. 31-37 (2014).
-
(2014)
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
, vol.2
, Issue.7
, pp. 31-37
-
-
Kavzoglu, T.1
Yildiz, M.2
-
10
-
-
33745615125
-
Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery
-
Q. Yu et al., "Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery," Photogramm. Eng. Remote Sens. 72(7), 799-811 (2006).
-
(2006)
Photogramm. Eng. Remote Sens
, vol.72
, Issue.7
, pp. 799-811
-
-
Yu, Q.1
-
11
-
-
38049148967
-
New contextual approaches using image segmentation for object-based classification
-
Academic Publishers, Dordrecht
-
T. Blaschke, C. Burnett, and A. Pekkarinen, "New contextual approaches using image segmentation for object-based classification," in Remote Sensing Image Analysis: Including the Spatial Domain, F. DeMeer and S. de Jong, Eds., pp. 211-236, Academic Publishers, Dordrecht (2004).
-
(2004)
Remote Sensing Image Analysis: Including the Spatial Domain, F. DeMeer and S. de Jong, Eds.
, pp. 211-236
-
-
Blaschke, T.1
Burnett, C.2
Pekkarinen, A.3
-
12
-
-
79952070569
-
Per-pixel vs. Object-based classification of urban land cover extraction using high spatial resolution imagery
-
S. W. Myint et al., "Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery," Remote Sens. Environ. 115(5), 1145-1161 (2011).
-
(2011)
Remote Sens. Environ
, vol.115
, Issue.5
, pp. 1145-1161
-
-
Myint, S.W.1
-
13
-
-
84869054245
-
High-resolution urban land-cover classification using a competitive multi-scale object-based approach
-
B. A. Johnson, "High-resolution urban land-cover classification using a competitive multi-scale object-based approach," Remote Sens. Lett. 4(2), 131-140 (2013).
-
(2013)
Remote Sens. Lett
, vol.4
, Issue.2
, pp. 131-140
-
-
Johnson, B.A.1
-
14
-
-
34249108636
-
Mapping private gardens in urban areas using object-oriented techniques and very high-resolution satellite imagery
-
R. Mathieu, C. Freeman, and J. Aryal, "Mapping private gardens in urban areas using object-oriented techniques and very high-resolution satellite imagery," Landscape Urban Plann. 81(3), 179-192 (2007).
-
(2007)
Landscape Urban Plann
, vol.81
, Issue.3
, pp. 179-192
-
-
Mathieu, R.1
Freeman, C.2
Aryal, J.3
-
15
-
-
84954224388
-
The use of logistic model tree (LMT) for pixel-and object-based classifications using high-resolution WorldView-2 imagery
-
I. Colkesen and T. Kavzoglu, "The use of logistic model tree (LMT) for pixel-and object-based classifications using high-resolution WorldView-2 imagery," Geocarto Int. 32(1), 71-86 (2017).
-
(2017)
Geocarto Int
, vol.32
, Issue.1
, pp. 71-86
-
-
Colkesen, I.1
Kavzoglu, T.2
-
16
-
-
79960676967
-
A comparison of the performance of pixel-based and object-based classifications over images with various spatial resolutions
-
G. J. Hay, T. Blaschke, and D. Marceau, Eds., University of Calgary, Alberta, Canada, ISPRS
-
Y. Gao and J. F. Mas, "A comparison of the performance of pixel-based and object-based classifications over images with various spatial resolutions," in GEOBIA 2008-Pixels, Objects, Intelligence. GEOgraphic Object Based Image Analysis for the 21st Century, G. J. Hay, T. Blaschke, and D. Marceau, Eds., University of Calgary, Alberta, Canada, ISPRS Vol. No. XXXVIII-4/C1. Archives 1682-1777 (2008).
-
(2008)
GEOBIA 2008-Pixels, Objects, Intelligence. GEOgraphic Object Based Image Analysis for the 21st Century
, vol.38
, pp. 1682-1777
-
-
Gao, Y.1
Mas, J.F.2
-
17
-
-
79955383550
-
Assessing object-based classification: Advantages and limitations
-
D. Liu and F. Xia, "Assessing object-based classification: advantages and limitations," Remote Sens. Lett. 1(4), 187-194 (2010).
-
(2010)
Remote Sens. Lett
, vol.1
, Issue.4
, pp. 187-194
-
-
Liu, D.1
Xia, F.2
-
18
-
-
73249139477
-
Object based image analysis for remote sensing
-
T. Blaschke, "Object based image analysis for remote sensing," ISPRS J. Photogramm. Remote Sens. 65(1), 2-16 (2010).
-
(2010)
ISPRS J. Photogramm. Remote Sens
, vol.65
, Issue.1
, pp. 2-16
-
-
Blaschke, T.1
-
19
-
-
84930068766
-
Foreword for the GEOBIA special issue
-
I. Gitas and G. Mallinis, "Foreword for the GEOBIA special issue," Photogramm. Eng. Remote Sens. 81(6), 449-450 (2015).
-
(2015)
Photogramm. Eng. Remote Sens
, vol.81
, Issue.6
, pp. 449-450
-
-
Gitas, I.1
Mallinis, G.2
-
20
-
-
70350693560
-
Object-based image analysis for remote sensing applications: Modeling realitydealing with complexity
-
Springer, New York
-
S. Lang, "Object-based image analysis for remote sensing applications: modeling realitydealing with complexity," in Object-Based Image Analysis: Spatial Concepts for Knowledge Driven Remote Sensing Applications, T. Blaschke, S. Lang, and G. J. Hay, Eds., pp. 1-25, Springer, New York (2008).
-
(2008)
Object-Based Image Analysis: Spatial Concepts for Knowledge Driven Remote Sensing Applications, T. Blaschke, S. Lang, and G. J. Hay, Eds.
, pp. 1-25
-
-
Lang, S.1
-
21
-
-
84942590106
-
Object-based classification with rotation forest ensemble learning algorithm using very-high-resolution WorldView-2 image
-
T. Kavzoglu, I. Colkesen, and T. Yomralioglu, "Object-based classification with rotation forest ensemble learning algorithm using very-high-resolution WorldView-2 image," Remote Sens. Lett. 6(11), 834-843 (2015).
-
(2015)
Remote Sens. Lett
, vol.6
, Issue.11
, pp. 834-843
-
-
Kavzoglu, T.1
Colkesen, I.2
Yomralioglu, T.3
-
22
-
-
84912081653
-
A comparison of pixel-based and object-based land cover classification methods in an arid/semi-arid environment of northwestern China
-
Changsha, China
-
J.-X. Zhang and J. Jia, "A comparison of pixel-based and object-based land cover classification methods in an arid/semi-arid environment of northwestern China," in Third Int. Workshop on Earth Observation and Remote Sensing Applications (EORSA '14), Changsha, China, pp. 403-407 (2014).
-
(2014)
Third Int. Workshop on Earth Observation and Remote Sensing Applications (EORSA '14)
, pp. 403-407
-
-
Zhang, J.-X.1
Jia, J.2
-
23
-
-
84904909081
-
Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery
-
M. Belgiu and L. Dr?gut, "Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery," ISPRS J. Photogramm. Remote Sens. 96, 67-75 (2014).
-
(2014)
ISPRS J. Photogramm. Remote Sens
, vol.96
, pp. 67-75
-
-
Belgiu, M.1
Drgut, L.2
-
24
-
-
84930068510
-
Object-based building change detection from a single multispectral image and pre-existing geospatial information
-
G. Doxani, K. Karantzalos, and M. Tsakiri, "Object-based building change detection from a single multispectral image and pre-existing geospatial information," Photogramm. Eng. Remote Sens. 81(6), 481-489 (2015).
-
(2015)
Photogramm. Eng. Remote Sens
, vol.81
, Issue.6
, pp. 481-489
-
-
Doxani, G.1
Karantzalos, K.2
Tsakiri, M.3
-
26
-
-
84898666719
-
Forest mapping through object-based image analysis of multispectral and LiDAR aerial data
-
M. Machala and L. Zejdová, "Forest mapping through object-based image analysis of multispectral and LiDAR aerial data," Eur. J. Remote Sens. 47(1), 117-131 (2014).
-
(2014)
Eur. J. Remote Sens
, vol.47
, Issue.1
, pp. 117-131
-
-
Machala, M.1
Zejdová, L.2
-
27
-
-
3242679857
-
A performance evaluation of a burned area object-based classification model when applied to topographically and non-topographically corrected TM imagery
-
G. H. Mitri and I. Z. Gitas, "A performance evaluation of a burned area object-based classification model when applied to topographically and non-topographically corrected TM imagery," Int. J. Remote Sens. 25(14), 2863-2870 (2004).
-
(2004)
Int. J. Remote Sens
, vol.25
, Issue.14
, pp. 2863-2870
-
-
Mitri, G.H.1
Gitas, I.Z.2
-
28
-
-
84920062764
-
Burned area mapping using support vector machines and the FuzCoC feature selection method on VHR IKONOS imagery
-
E. Dragozi et al., "Burned area mapping using support vector machines and the FuzCoC feature selection method on VHR IKONOS imagery," Remote Sens 6(12), 12005-12036 (2014).
-
(2014)
Remote Sens
, vol.6
, Issue.12
, pp. 12005-12036
-
-
Dragozi, E.1
-
29
-
-
84863016325
-
Object-based change detection
-
G. Chen et al., "Object-based change detection," Int. J. Remote Sens. 33(14), 4434-4457 (2012).
-
(2012)
Int. J. Remote Sens
, vol.33
, Issue.14
, pp. 4434-4457
-
-
Chen, G.1
-
30
-
-
84876726723
-
Change detection from remotely sensed images: From pixel-based to object-based approaches
-
M. Hussain et al., "Change detection from remotely sensed images: from pixel-based to object-based approaches," ISPRS J. Photogramm. Remote Sens. 80, 91-106 (2013).
-
(2013)
ISPRS J. Photogramm. Remote Sens
, vol.80
, pp. 91-106
-
-
Hussain, M.1
-
31
-
-
82455162393
-
Landslide identification and classification by object-based image analysis and fuzzy logic: An example from the Azdavay region (Kastamonu, Turkey)
-
B. Aksoy and M. Ercanoglu, "Landslide identification and classification by object-based image analysis and fuzzy logic: an example from the Azdavay region (Kastamonu, Turkey)," Comput. Geosci. 38(1), 87-98 (2012).
-
(2012)
Comput. Geosci
, vol.38
, Issue.1
, pp. 87-98
-
-
Aksoy, B.1
Ercanoglu, M.2
-
32
-
-
84937898139
-
Automatic case-based reasoning approach for landslide detection: Integration of object-oriented image analysis and a genetic algorithm
-
J. Dou et al., "Automatic case-based reasoning approach for landslide detection: integration of object-oriented image analysis and a genetic algorithm," Remote Sens. 7(4), 4318-4342 (2015).
-
(2015)
Remote Sens
, vol.7
, Issue.4
, pp. 4318-4342
-
-
Dou, J.1
-
33
-
-
78650400955
-
Comparison of object-based and pixel-based infrared airborne image classification methods using DEM thematic layer
-
A. Dehvari and R. J. Heck, "Comparison of object-based and pixel-based infrared airborne image classification methods using DEM thematic layer," J. Geog. Reg. Plann. 2(4), 86-96 (2009).
-
(2009)
J. Geog. Reg. Plann
, vol.2
, Issue.4
, pp. 86-96
-
-
Dehvari, A.1
Heck, R.J.2
-
34
-
-
84455200427
-
A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery
-
D. C. Duro et al., "A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery," Remote Sens. Environ. 118, 259-272 (2012).
-
(2012)
Remote Sens. Environ
, vol.118
, pp. 259-272
-
-
Duro, D.C.1
-
35
-
-
84890209110
-
Geographic object-based image analysis-towards a new paradigm
-
T. Blaschke et al., "Geographic object-based image analysis-towards a new paradigm," ISPRS J. Photogramm. Remote Sens. 87, 180-191 (2014).
-
(2014)
ISPRS J. Photogramm. Remote Sens
, vol.87
, pp. 180-191
-
-
Blaschke, T.1
-
36
-
-
41949100170
-
Image segmentation evaluation: A survey of unsupervised methods
-
H. Zhang, J. E. Fritts, and S. A. Goldman, "Image segmentation evaluation: a survey of unsupervised methods," Comput. Vision Image Understanding 110(2), 260-280 (2008).
-
(2008)
Comput. Vision Image Understanding
, vol.110
, Issue.2
, pp. 260-280
-
-
Zhang, H.1
Fritts, J.E.2
Goldman, S.A.3
-
37
-
-
84896962668
-
Optimizing multi-resolution segmentation scale using empirical methods: Exploring the sensitivity of the supervised discrepancy measure Euclidean distance 2 (ED2)
-
C. Witharana and D. L. Civco, "Optimizing multi-resolution segmentation scale using empirical methods: exploring the sensitivity of the supervised discrepancy measure Euclidean distance 2 (ED2)," ISPRS J. Photogramm. Remote Sens. 87, 108-121 (2014).
-
(2014)
ISPRS J. Photogramm. Remote Sens
, vol.87
, pp. 108-121
-
-
Witharana, C.1
Civco, D.L.2
-
38
-
-
28544434203
-
An automated object-based approach for the multiscale image segmentation of forest scenes
-
G. J. Hay et al., "An automated object-based approach for the multiscale image segmentation of forest scenes," Int. J. Appl. Earth Obs. Geoinf. 7(4), 339-359 (2005).
-
(2005)
Int. J. Appl. Earth Obs. Geoinf
, vol.7
, Issue.4
, pp. 339-359
-
-
Hay, G.J.1
-
39
-
-
84879590467
-
Advances in geographic object-based image analysis with ontologies: A review of main contributions and limitations from a remote sensing perspective
-
D. Arvor et al., "Advances in geographic object-based image analysis with ontologies: a review of main contributions and limitations from a remote sensing perspective," ISPRS J. Photogramm. Remote Sens. 82, 125-137 (2013).
-
(2013)
ISPRS J. Photogramm. Remote Sens
, vol.82
, pp. 125-137
-
-
Arvor, D.1
-
40
-
-
79957608758
-
Multi-scale GEOBIAwith very high spatial resolution digital aerial imagery: Scale, texture and image objects
-
M. Kim et al., "Multi-scale GEOBIAwith very high spatial resolution digital aerial imagery: scale, texture and image objects," Int. J. Remote Sens. 32(10), 2825-2850 (2011).
-
(2011)
Int. J. Remote Sens
, vol.32
, Issue.10
, pp. 2825-2850
-
-
Kim, M.1
-
41
-
-
83655183741
-
Detecting an optimal scale parameter in object-oriented classification
-
S. H. Lowe and X. Guo, "Detecting an optimal scale parameter in object-oriented classification," IEEE J. Sel. Top. Appl. 4(4), 890-895 (2011).
-
(2011)
IEEE J. Sel. Top. Appl
, vol.4
, Issue.4
, pp. 890-895
-
-
Lowe, S.H.1
Guo, X.2
-
42
-
-
84864088464
-
Object-oriented classification of land use/cover using digital aerial orthophotography
-
C. Li and G. Shao, "Object-oriented classification of land use/cover using digital aerial orthophotography," Int. J. Remote Sens. 33(4), 922-938 (2012).
-
(2012)
Int. J. Remote Sens
, vol.33
, Issue.4
, pp. 922-938
-
-
Li, C.1
Shao, G.2
-
43
-
-
28544451754
-
Multiscale object-specific analysis (MOSA): An integrative approach for multiscale landscape analysis
-
S. M. de Jong and F. D. van der Meer, Eds. , Kluwer Academic Publishers, Dordrecht
-
G. J. Hay and D. J. Marceau, "Multiscale object-specific analysis (MOSA): an integrative approach for multiscale landscape analysis," Chapter 3 in Remote Sensing and Digital Image Analysis: Including the Spatial Domain, S. M. de Jong and F. D. van der Meer, Eds., pp. 71-92, Kluwer Academic Publishers, Dordrecht (2004).
-
(2004)
Chapter 3 in Remote Sensing and Digital Image Analysis: Including the Spatial Domain
, pp. 71-92
-
-
Hay, G.J.1
Marceau, D.J.2
-
44
-
-
0001812168
-
Multi-resolution segmentation: An optimization approach for high quality multi-scale image segmentation
-
J. Strobl, T. Blaschke, and G. Griesebner, Eds. , Wichmann-Verlag, Heidelberg
-
M. Baatz and A. Schäpe, "Multi-resolution segmentation: an optimization approach for high quality multi-scale image segmentation," in Angewandte Geographische Informations Verarbeitung XII, J. Strobl, T. Blaschke, and G. Griesebner, Eds., pp. 12-23, Wichmann-Verlag, Heidelberg (2000).
-
(2000)
Angewandte Geographische Informations Verarbeitung XII
, pp. 12-23
-
-
Baatz, M.1
Schäpe, A.2
-
45
-
-
84869016668
-
MSEG: A generic region-based multi-scale image segmentation algorithm for remote sensing imagery
-
A. Tzotsos and D. Argialas, "MSEG: a generic region-based multi-scale image segmentation algorithm for remote sensing imagery," in Proc. of ASPRS 2006 Annual Conf., Reno, Nevada (2006).
-
(2006)
Proc. of ASPRS 2006 Annual Conf., Reno, Nevada
-
-
Tzotsos, A.1
Argialas, D.2
-
46
-
-
84867065053
-
Multiscale classification of remote sensing Images
-
J. A. Dos Santos et al., "Multiscale classification of remote sensing Images," IEEE Trans. Geosci. Remote Sens. 50(10), 3764-3775 (2012).
-
(2012)
IEEE Trans. Geosci. Remote Sens
, vol.50
, Issue.10
, pp. 3764-3775
-
-
Dos Santos, J.A.1
-
47
-
-
84920531772
-
Hierarchical segmentation framework for identifying natural vegetation: A case study of the Tehachapi Mountains, California
-
Y. T. Liau, "Hierarchical segmentation framework for identifying natural vegetation: a case study of the Tehachapi Mountains, California," Remote Sens. 6(8), 7276-7302 (2014).
-
(2014)
Remote Sens
, vol.6
, Issue.8
, pp. 7276-7302
-
-
Liau, Y.T.1
-
48
-
-
85032576258
-
Domain-specific class modelling for one-level representation of single trees
-
Springer, New York , T. Blaschke, S. Lang, and G. J. Hay, Eds
-
D. Tiede, S. Lang, and C. Hoffmann, "Domain-specific class modelling for one-level representation of single trees," in Object-Based Image Analysis: Spatial Concepts for Knowledge Driven Remote Sensing Applications, T. Blaschke, S. Lang, and G. J. Hay, Eds., pp. 133-151, Springer, New York (2008).
-
(2008)
Object-Based Image Analysis: Spatial Concepts for Knowledge Driven Remote Sensing Applications
, pp. 133-151
-
-
Tiede, D.1
Lang, S.2
Hoffmann, C.3
-
49
-
-
77955527583
-
A comparison of spectral angle mapper and artificial neural network classifiers combined with Landsat TM imagery analysis for obtaining burnt area mapping
-
G. P. Petropoulos et al., "A comparison of spectral angle mapper and artificial neural network classifiers combined with Landsat TM imagery analysis for obtaining burnt area mapping," Sensors 10(3), 1967-1985 (2010).
-
(2010)
Sensors
, vol.10
, Issue.3
, pp. 1967-1985
-
-
Petropoulos, G.P.1
-
50
-
-
84872347823
-
GeoEye-1 and WorldView-2 pan-sharpened imagery for object-based classification in urban environment
-
M. A. Aguilar, M. M. Saldana, and F. J. Aguilar, "GeoEye-1 and WorldView-2 pan-sharpened imagery for object-based classification in urban environment," Int. J. Remote Sens. 34(7), 2583-2606 (2013).
-
(2013)
Int. J. Remote Sens
, vol.34
, Issue.7
, pp. 2583-2606
-
-
Aguilar, M.A.1
Saldana, M.M.2
Aguilar, F.J.3
-
51
-
-
80052153041
-
Enhanced evaluation of image segmentation results
-
P. R. Marpu et al., "Enhanced evaluation of image segmentation results," J. Spat. Sci. 55(1), 55-68 (2010).
-
(2010)
J. Spat. Sci
, vol.55
, Issue.1
, pp. 55-68
-
-
Marpu, P.R.1
-
52
-
-
80052142987
-
Quality assessment of segmentation results
-
Springer, New York , T. Blaschke, S. Lang, and G. J. Hay, Eds
-
J. Radoux and P. Defourny, "Quality assessment of segmentation results," in Object-Based Image Analysis: Spatial Concepts for Knowledge Driven Remote Sensing Applications, T. Blaschke, S. Lang, and G. J. Hay, Eds., pp. 257-271, Springer, New York (2008).
-
(2008)
Object-Based Image Analysis: Spatial Concepts for Knowledge Driven Remote Sensing Applications
, pp. 257-271
-
-
Radoux, J.1
Defourny, P.2
-
53
-
-
84975763750
-
An assessment of the effectiveness of segmentation methods on classification performance
-
M. Yildiz et al., "An assessment of the effectiveness of segmentation methods on classification performance," in Proc. of 10th Int. Symp. on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Florianópolis, Santa Catarina, Brazil, pp. 133-138 (2012).
-
(2012)
Proc. of 10th Int. Symp. on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Florianópolis, Santa Catarina, Brazil
, pp. 133-138
-
-
Yildiz, M.1
-
54
-
-
84922357427
-
Training set size, scale, and features in geographic object-based image analysis of very high resolution unmanned aerial vehicle imagery
-
L. Ma, "Training set size, scale, and features in geographic object-based image analysis of very high resolution unmanned aerial vehicle imagery," ISPRS J. Photogramm. Remote Sens. 102, 14-27 (2015).
-
(2015)
ISPRS J. Photogramm. Remote Sens
, vol.102
, pp. 14-27
-
-
Ma, L.1
-
55
-
-
33747105856
-
Parameter selection for region-growing image segmentation algorithms using spatial autocorrelation
-
G. M. Espindola et al., "Parameter selection for region-growing image segmentation algorithms using spatial autocorrelation," Int. J. Remote Sens. 27(14), 3035-3040 (2006).
-
(2006)
Int. J. Remote Sens
, vol.27
, Issue.14
, pp. 3035-3040
-
-
Espindola, G.M.1
-
56
-
-
84908070467
-
Optimal segmentation of a high-resolution remote-sensing image guided by area and boundary
-
J. Chen et al., "Optimal segmentation of a high-resolution remote-sensing image guided by area and boundary," Int. J. Remote Sens. 35(19), 6914-6939 (2014).
-
(2014)
Int. J. Remote Sens
, vol.35
, Issue.19
, pp. 6914-6939
-
-
Chen, J.1
-
57
-
-
84891136260
-
Automated parameterisation for multi-scale image segmentation on multiple layers
-
L. Dr?gut et al., "Automated parameterisation for multi-scale image segmentation on multiple layers," ISPRS J. Photogramm. Remote Sens. 88, 119-127 (2014).
-
(2014)
ISPRS J. Photogramm. Remote Sens
, vol.88
, pp. 119-127
-
-
Drgut, L.1
-
58
-
-
79957819255
-
Unsupervised image segmentation evaluation and refinement using a multi-scale approach
-
B. Johnson and Z. Xie, "Unsupervised image segmentation evaluation and refinement using a multi-scale approach," ISPRS J. Photogramm. Remote Sens. 66, 473-483 (2011).
-
(2011)
ISPRS J. Photogramm. Remote Sens
, vol.66
, pp. 473-483
-
-
Johnson, B.1
Xie, Z.2
-
59
-
-
0000565591
-
A computer movie simulating urban growth in the Detroit region
-
W. R. Tobler, "A computer movie simulating urban growth in the Detroit region," Econ. Geog. 46, 234-240 (1970).
-
(1970)
Econ. Geog
, vol.46
, pp. 234-240
-
-
Tobler, W.R.1
-
61
-
-
84979944094
-
Estimation of optimal image object size for the segmentation of forest stands with multispectral IKONOS imagery
-
Springer, New York , T. Blaschke, S. Lang, and G. J. Hay, Eds
-
M. Kim, M. Madden, and T. Warner, "Estimation of optimal image object size for the segmentation of forest stands with multispectral IKONOS imagery," in Object-Based Image Analysis: Spatial Concepts for Knowledge Driven Remote Sensing Applications, T. Blaschke, S. Lang, and G. J. Hay, Eds., pp. 291-307, Springer, New York (2008).
-
(2008)
Object-Based Image Analysis: Spatial Concepts for Knowledge Driven Remote Sensing Applications
, pp. 291-307
-
-
Kim, M.1
Madden, M.2
Warner, T.3
-
63
-
-
63849152745
-
Scale issues in remote sensing: A review on analysis, processing and modeling
-
H. Wu and Z. L. Li, "Scale issues in remote sensing: a review on analysis, processing and modeling," Sensors 9(3), 1768-1793 (2009).
-
(2009)
Sensors
, vol.9
, Issue.3
, pp. 1768-1793
-
-
Wu, H.1
Li, Z.L.2
-
64
-
-
79956136086
-
Local variance for multi-scale analysis in geomorphometry
-
L. Dr?gut, C. Eisank, and T. Strasser, "Local variance for multi-scale analysis in geomorphometry," Geomorphology 130(3-4), 162-172 (2011).
-
(2011)
Geomorphology
, vol.130
, Issue.3-4
, pp. 162-172
-
-
Drgut, L.1
Eisank, C.2
Strasser, T.3
-
65
-
-
84979498073
-
A region-based multi-scale approach for object-based image analysis
-
T. Kavzoglu, M. Y. Erdemir, and H. Tonbul, "A region-based multi-scale approach for object-based image analysis," in Int. Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, Vol. XLI-B7, pp. 241-247 (2016).
-
(2016)
Int. Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences
, vol.XLI-B7
, pp. 241-247
-
-
Kavzoglu, T.1
Erdemir, M.Y.2
Tonbul, H.3
-
66
-
-
84901649289
-
A novel method for assessing the segmentation quality of high-spatial resolution remote sensing images
-
J. Cheng et al., "A novel method for assessing the segmentation quality of high-spatial resolution remote sensing images," Int. J. Remote Sens. 35(10), 3816-3839 (2014).
-
(2014)
Int. J. Remote Sens
, vol.35
, Issue.10
, pp. 3816-3839
-
-
Cheng, J.1
-
67
-
-
80051892543
-
Spatial accuracy assessment of object boundaries for object-based image analysis
-
F. Albrecht, S. Lang, and D. Hölbling, "Spatial accuracy assessment of object boundaries for object-based image analysis," in Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII, No. 4, p. C7 (2010).
-
(2010)
Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, vol.38
, Issue.4
, pp. C7
-
-
Albrecht, F.1
Lang, S.2
Hölbling, D.3
-
68
-
-
0036875711
-
Existential uncertainty of spatial objects segmented from satellite sensor imagery
-
A. Lucieer and A. Stein, "Existential uncertainty of spatial objects segmented from satellite sensor imagery," IEEE Trans. Geosci. Remote Sens. 40(11), 2518-2521 (2002).
-
(2002)
IEEE Trans. Geosci. Remote Sens
, vol.40
, Issue.11
, pp. 2518-2521
-
-
Lucieer, A.1
Stein, A.2
-
69
-
-
0034279105
-
Location similarity of regions
-
S. Winter, "Location similarity of regions," ISPRS J. Photogrammetry Remote Sens. 55(3), 189-200 (2000).
-
(2000)
ISPRS J. Photogrammetry Remote Sens
, vol.55
, Issue.3
, pp. 189-200
-
-
Winter, S.1
-
70
-
-
77949838817
-
Accuracy assessment measures for object-based image segmentation goodness
-
N. Clinton et al., "Accuracy assessment measures for object-based image segmentation goodness," Photogramm. Eng. Remote Sens. 76(3), 289-299 (2010).
-
(2010)
Photogramm. Eng. Remote Sens
, vol.76
, Issue.3
, pp. 289-299
-
-
Clinton, N.1
|