-
1
-
-
84891742167
-
Building change detection from multitemporal high-resolution remotely sensed images based on a morphological building index
-
X. Huang, L. Zhang, and T. Zhu, “Building change detection from multitemporal high-resolution remotely sensed images based on a morphological building index,” IEEE J. Select. Topics Appl. Earth Observ. Remote Sensing 7 (1), 105–115 (2014).
-
(2014)
IEEE J. Select. Topics Appl. Earth Observ. Remote Sensing
, vol.7
, Issue.1
, pp. 105-115
-
-
Huang, X.1
Zhang, L.2
Zhu, T.3
-
2
-
-
84924281925
-
Building parameters extraction from remote-sensing data and GIS analysis for the derivation of a building taxonomy of settlements: A contribution to flood building susceptibility assessment
-
A. Blanco-Vogt, N. Haala, and J. Schanze, “Building parameters extraction from remote-sensing data and GIS analysis for the derivation of a building taxonomy of settlements: A contribution to flood building susceptibility assessment,” Int. J. Image Data Fusion 6 (1), 22–41 (2015).
-
(2015)
Int. J. Image Data Fusion
, vol.6
, Issue.1
, pp. 22-41
-
-
Blanco-Vogt, A.1
Haala, N.2
Schanze, J.3
-
3
-
-
84891656484
-
Detection of damaged buildings after an earthquake using artificial neural network algorithm
-
S. Ahadzadeh, M. Valadanzouj, S. Sadeghian, and S. Ahmadi, “Detection of damaged buildings after an earthquake using artificial neural network algorithm,” in Proc. 21st. Silk Road for Information from Imagery ISPRS (Beijing, 2008).
-
(2008)
Proc. 21st. Silk Road for Information from Imagery ISPRS
-
-
Ahadzadeh, S.1
Valadanzouj, M.2
Sadeghian, S.3
Ahmadi, S.4
-
4
-
-
84902144036
-
The pixel rectangle index used in object based building extraction from high resolution images
-
W. H. Cui, X. Feng, and K. Qin, “The pixel rectangle index used in object based building extraction from high resolution images,” in IOP Conf. Series: Earth and Environmental Science (2014), p. 012233.
-
(2014)
IOP Conf. Series: Earth and Environmental Science
, pp. 012233
-
-
Cui, W.H.1
Feng, X.2
Qin, K.3
-
5
-
-
29544440639
-
Automated building extraction from high-resolution satellite imagery in urban areas using structural, contextual, and spectral information
-
X. Jin, and C.H. Davis, “Automated building extraction from high-resolution satellite imagery in urban areas using structural, contextual, and spectral information,” EURASIP J. Appl. Signal Processing 14, 2196–2206 (2005).
-
(2005)
EURASIP J. Appl. Signal Processing
, vol.14
, pp. 2196-2206
-
-
Jin, X.1
Davis, C.H.2
-
6
-
-
57849112797
-
Building extraction from high resolution satellite imagery based on multi-scale image segmentation and model matching
-
Z. Liu, S. Cui, and Q. Yan, “Building extraction from high resolution satellite imagery based on multi-scale image segmentation and model matching,” in Proc. Conf. on Earth Observation and Remote Sensing Applications (Beijing, 2008), pp. 1–7.
-
(2008)
Proc. Conf. on Earth Observation and Remote Sensing Applications
, pp. 1-7
-
-
Liu, Z.1
Cui, S.2
Yan, Q.3
-
7
-
-
84930273499
-
Development of new indices for extraction of built-up area and bare soil from Landsat data
-
W. M. Muhammad, M. J. Fatimah, M. Fafia, and H. Ejaz, “Development of new indices for extraction of built-up area and bare soil from Landsat data,” Open Access Sci. Rep. 1, 1–4 (2012).
-
(2012)
Open Access Sci. Rep.
, vol.1
, pp. 1-4
-
-
Muhammad, W.M.1
Fatimah, M.J.2
Fafia, M.3
Ejaz, H.4
-
8
-
-
84879167586
-
Automatic building extraction using LiDAR and aerial photographs
-
M. Uzar, and N. Yastikli, “Automatic building extraction using LiDAR and aerial photographs,” Boletim de ciencias geodesicas. 19 (2), 153–171 (2013).
-
(2013)
Boletim de ciencias geodesicas.
, vol.19
, Issue.2
, pp. 153-171
-
-
Uzar, M.1
Yastikli, N.2
-
9
-
-
84922538783
-
Automatic building extraction from LIDAR data covering complex urban scenes
-
M. Awrangjeb, G. Lu, and C. Fraser, “Automatic building extraction from LIDAR data covering complex urban scenes,” ISPRS-Int. Archives Photogrammetry, Remote Sensing Spatial Inf. Sci. 1, 25–32 (2014).
-
(2014)
ISPRS-Int. Archives Photogrammetry, Remote Sensing Spatial Inf. Sci.
, vol.1
, pp. 25-32
-
-
Awrangjeb, M.1
Lu, G.2
Fraser, C.3
-
10
-
-
70350150491
-
Building extraction and 3D reconstruction in urban areas from high-resolution optical and SAR imagery
-
H. Sportouche, F. Tupin, and L. Denise, “Building extraction and 3D reconstruction in urban areas from high-resolution optical and SAR imagery,” in Proc. Joint Conf. on Urban Remote Sensing Event2009 (Shanghai, 2009), pp. 1–11.
-
(2009)
Proc. Joint Conf. on Urban Remote Sensing Event2009
, pp. 1-11
-
-
Sportouche, H.1
Tupin, F.2
Denise, L.3
-
11
-
-
84937887411
-
A rapid extraction of water body features from Antarctic coastal oasis using very high-resolution satellite remote sensing data
-
S. D. Jawak, and A. J. Luis, “A rapid extraction of water body features from Antarctic coastal oasis using very high-resolution satellite remote sensing data,” Aquatic Proc. 4, 125–132 (2015).
-
(2015)
Aquatic Proc.
, vol.4
, pp. 125-132
-
-
Jawak, S.D.1
Luis, A.J.2
-
12
-
-
84922704792
-
A spectral index for highlighting forest cover from remotely sensed imagery
-
W. Ye, X. Li, X. Chen, and G. Zhang, “A spectral index for highlighting forest cover from remotely sensed imagery,” in SPIE Asia Pacific Remote Sensing (2014), pp. 92601L–92601L.
-
(2014)
SPIE Asia Pacific Remote Sensing
, pp. 92601L
-
-
Ye, W.1
Li, X.2
Chen, X.3
Zhang, G.4
-
13
-
-
84943361518
-
A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery
-
K. Shahi, H.Z. Shafri, E. Taherzadeh, S. Mansor, and R. Muniandy, “A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery,” Egypt. J. Remote Sensing Space Sci. 18 (1), 27–33 (2015).
-
(2015)
Egypt. J. Remote Sensing Space Sci.
, vol.18
, Issue.1
, pp. 27-33
-
-
Shahi, K.1
Shafri, H.Z.2
Taherzadeh, E.3
Mansor, S.4
Muniandy, R.5
-
14
-
-
3843090619
-
An effective approach to automatically extract urban land-use from TM imagery
-
Y. Zha, S. X. Ni, and S. Yang, “An effective approach to automatically extract urban land-use from TM imagery,” J. Remote Sens. 7, 37–40 (2003).
-
(2003)
J. Remote Sens.
, vol.7
, pp. 37-40
-
-
Zha, Y.1
Ni, S.X.2
Yang, S.3
-
15
-
-
0002872223
-
Monitoring vegetation systems in the Great Plains with ERTS
-
J. W. Rouse, R. H. Haas, J. A. Schell, and D. W. Deering, “Monitoring vegetation systems in the Great Plains with ERTS,” in Proc. 3rd ERTS Symp. (Washington, 1973), pp. 309–317.
-
(1973)
Proc. 3rd ERTS Symp.
, pp. 309-317
-
-
Rouse, J.W.1
Haas, R.H.2
Schell, J.A.3
Deering, D.W.4
-
16
-
-
0024165401
-
A soil-adjusted vegetation index (SAVI)
-
A. R. Huete, “A soil-adjusted vegetation index (SAVI),” Remote Sens. Environ. 25 (3), 295–309 (1988).
-
(1988)
Remote Sens. Environ.
, vol.25
, Issue.3
, pp. 295-309
-
-
Huete, A.R.1
-
17
-
-
33747136902
-
Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery
-
H. Xu, “Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery,” Int. J. Remote Sens. 27, 3025–3033 (2006).
-
(2006)
Int. J. Remote Sens.
, vol.27
, pp. 3025-3033
-
-
Xu, H.1
-
18
-
-
0027063079
-
GEMI: a non-linear index to monitor global vegetation from satellites
-
B. Pinty, and M. M. Verstraete, “GEMI: a non-linear index to monitor global vegetation from satellites,” Vegetatio 101 (1), 15–20 (1992).
-
(1992)
Vegetatio
, vol.101
, Issue.1
, pp. 15-20
-
-
Pinty, B.1
Verstraete, M.M.2
-
19
-
-
46349084185
-
A new index for delineating built-up land features in satellite imagery
-
H. Xu, “A new index for delineating built-up land features in satellite imagery,” Int. J. Remote Sens. 29 (14), 4269–4276 (2008).
-
(2008)
Int. J. Remote Sens.
, vol.29
, Issue.14
, pp. 4269-4276
-
-
Xu, H.1
-
21
-
-
79958709785
-
Development of an urban classification method using a built-up index
-
J. Lee, S. S. Lee, and K. H. Chi, “Development of an urban classification method using a built-up index,” in Proc. 6th WSEAS Int. Conf. on Remote Sensing (Iwate, 2010), pp. 39–43.
-
(2010)
Proc. 6th WSEAS Int. Conf. on Remote Sensing
, pp. 39-43
-
-
Lee, J.1
Lee, S.S.2
Chi, K.H.3
-
22
-
-
84879731666
-
The VHR data region-based classification possibilities in the framework of control with remote sensing of European CAP
-
A. Carleer, and E. Wolff, “The VHR data region-based classification possibilities in the framework of control with remote sensing of European CAP,” in Proc. 31st Int. Symp. of Remote Sensing on Environment (St. Petersburg, 2005).
-
(2005)
Proc. 31st Int. Symp. of Remote Sensing on Environment
-
-
Carleer, A.1
Wolff, E.2
-
23
-
-
0041959832
-
Spectral resolution requirements for mapping urban areas
-
M. Herold, M. E. Gardner, and D. Roberts, “Spectral resolution requirements for mapping urban areas,” IEEE Trans. Geosci. Remote Sensing 41 (9), 1907–1919 (2003).
-
(2003)
IEEE Trans. Geosci. Remote Sensing
, vol.41
, Issue.9
, pp. 1907-1919
-
-
Herold, M.1
Gardner, M.E.2
Roberts, D.3
-
24
-
-
77953562671
-
Accessing free Landsat data via the Internet: Africa’s challenge
-
D. P. Roy, J. Ju, C. Mbow, P. Frost, and T. Loveland, “Accessing free Landsat data via the Internet: Africa’s challenge,” Remote Sensing Lett. 1 (2), 111–117 (2010).
-
(2010)
Remote Sensing Lett.
, vol.1
, Issue.2
, pp. 111-117
-
-
Roy, D.P.1
Ju, J.2
Mbow, C.3
Frost, P.4
Loveland, T.5
-
25
-
-
39749112645
-
The availability of cloud-free Landsat ETM+ data over the conterminous United States and globally
-
J. Ju, and D. P. Roy, “The availability of cloud-free Landsat ETM+ data over the conterminous United States and globally,” Remote Sensing Environ. 112 (3), 1196–1211 (2008).
-
(2008)
Remote Sensing Environ.
, vol.112
, Issue.3
, pp. 1196-1211
-
-
Ju, J.1
Roy, D.P.2
-
26
-
-
84959393201
-
Resolution merge of 1: 35000 scale aerial photographs with Landsat 7 ETM imagery
-
M. Erdogan, H. H. Maras, A. Yilmaz, and O. T. Ozerbil, “Resolution merge of 1: 35000 scale aerial photographs with Landsat 7 ETM imagery,” Int. Archives Photogrammetry, Remote Sensing, Spatial Inf. Sci. 37, 1281–1285 (2008).
-
(2008)
Int. Archives Photogrammetry, Remote Sensing, Spatial Inf. Sci.
, vol.37
, pp. 1281-1285
-
-
Erdogan, M.1
Maras, H.H.2
Yilmaz, A.3
Ozerbil, O.T.4
-
27
-
-
33745615125
-
Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery
-
Q. Yu, P. Gong, N. Clinton, G. Biging, M. Kelly, and D. Schirokauer, “Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery,” Photogrammetric Eng. Remote Sensing 72 (7), 799–811 (2006).
-
(2006)
Photogrammetric Eng. Remote Sensing
, vol.72
, Issue.7
, pp. 799-811
-
-
Yu, Q.1
Gong, P.2
Clinton, N.3
Biging, G.4
Kelly, M.5
Schirokauer, D.6
-
28
-
-
36749021061
-
Extraction of urban built-up land features from Landsat imagery using a thematic oriented index combination technique
-
H. Xu, “Extraction of urban built-up land features from Landsat imagery using a thematic oriented index combination technique,” Photogrammetric Eng. Remote Sensing 73 (12), 1381–1391 (2007).
-
(2007)
Photogrammetric Eng. Remote Sensing
, vol.73
, Issue.12
, pp. 1381-1391
-
-
Xu, H.1
-
29
-
-
0036401356
-
Detection of buildings from Landsat-7 ETM+ and SPOT panchromatic data in Beijing, China
-
J. Wang, “Detection of buildings from Landsat-7 ETM+ and SPOT panchromatic data in Beijing, China,” in Proc. IEEE Int. Geoscience and Remote Sensing Symp. (2002), pp. 2977–2979.
-
(2002)
Proc. IEEE Int. Geoscience and Remote Sensing Symp.
, pp. 2977-2979
-
-
Wang, J.1
-
30
-
-
84877637684
-
A new decision tree classification approach for extracting urban land from Landsat TM in a coastal city, China
-
L. Hua, W. Man, Q. Wang, and X. Zhao, “A new decision tree classification approach for extracting urban land from Landsat TM in a coastal city, China,” in Proc. Int. Symp. on Information Science and Engineering (ISISE) (Toronto, 2012), pp. 282–286.
-
(2012)
Proc. Int. Symp. on Information Science and Engineering (ISISE)
, pp. 282-286
-
-
Hua, L.1
Man, W.2
Wang, Q.3
Zhao, X.4
-
31
-
-
85020818233
-
The decision tree algorithm of urban extraction from multisource image data
-
Y. Qiao, H. Liu, M. Bai, X. Wang, and X. Zhou, “The decision tree algorithm of urban extraction from multisource image data,” in Proc. ISPRS Workshop Virtual Changing Globe for Visualization and Analysis (Wuhan, 2009).
-
(2009)
Proc. ISPRS Workshop Virtual Changing Globe for Visualization and Analysis
-
-
Qiao, Y.1
Liu, H.2
Bai, M.3
Wang, X.4
Zhou, X.5
-
32
-
-
84930178797
-
Extraction of impervious features from spectral indices using artificial neural network
-
N. Patel, and R. Mukherjee, “Extraction of impervious features from spectral indices using artificial neural network,” Arabian J. Geosci. 8 (6), 3729–3741 (2014).
-
(2014)
Arabian J. Geosci.
, vol.8
, Issue.6
, pp. 3729-3741
-
-
Patel, N.1
Mukherjee, R.2
-
33
-
-
79955412923
-
Improving the normalized difference built-up index to map urban built-up areas using a semiautomatic segmentation approach
-
C. He, P. Shi, D. Xie, and Y. Zhao, “Improving the normalized difference built-up index to map urban built-up areas using a semiautomatic segmentation approach,” Remote Sensing Lett. 1 (4), 213–221 (2010).
-
(2010)
Remote Sensing Lett.
, vol.1
, Issue.4
, pp. 213-221
-
-
He, C.1
Shi, P.2
Xie, D.3
Zhao, Y.4
-
34
-
-
84861606048
-
Building extraction from very high resolution multispectral images using NDVI based segmentation and morphological operators
-
D. Singh, R. Maurya, A. S. Shukla, M. K. Sharma, and P. R. Gupta, “Building extraction from very high resolution multispectral images using NDVI based segmentation and morphological operators,” in Proc. Conf. on Engineering and Systems (SCES) (Busan, 2012), pp. 1–5.
-
(2012)
Proc. Conf. on Engineering and Systems (SCES)
, pp. 1-5
-
-
Singh, D.1
Maurya, R.2
Shukla, A.S.3
Sharma, M.K.4
Gupta, P.R.5
-
35
-
-
85020771701
-
Color based urban scene classification using high resolution satellite imagery
-
V. Pandit, S. Gupta, and K. S. Rajan, “Color based urban scene classification using high resolution satellite imagery,” in Proc. Int. Conf. on Image Processing, Computer Vision, and Pattern Recognition (IPCV’09) (Las Vegas, 2009), pp. 13–16.
-
(2009)
Proc. Int. Conf. on Image Processing, Computer Vision, and Pattern Recognition (IPCV’09)
, pp. 13-16
-
-
Pandit, V.1
Gupta, S.2
Rajan, K.S.3
-
37
-
-
85020791197
-
Avoiding the blue roof data during extracting vegetation from high resolution images
-
B. Rami, F. XueZhi, X. Pengfeng, and Z. Shuhe, “Avoiding the blue roof data during extracting vegetation from high resolution images,” in Proc. Int. Conf. on Geo-Spatial Solutions for Emergency Management and the 50th Anniversary of the Chinese Academy of Surveying and Mapping (Beijing, 2009), pp 88–91.
-
(2009)
Proc. Int. Conf. on Geo-Spatial Solutions for Emergency Management and the 50th Anniversary of the Chinese Academy of Surveying and Mapping
, pp. 88-91
-
-
Rami, B.1
XueZhi, F.2
Pengfeng, X.3
Shuhe, Z.4
-
38
-
-
79957756144
-
A genetic programming approach to estimate vegetation cover in the context of soil erosion assessment
-
C. Puente, G. Olague, S. V. Smith, S. H. Bullock, A. Hinojosa-Corona, and M. A. González-Botello, “A genetic programming approach to estimate vegetation cover in the context of soil erosion assessment,” Photogrammetric Eng. Remote Sensing 77 (4), 363–376 (2011).
-
(2011)
Photogrammetric Eng. Remote Sensing
, vol.77
, Issue.4
, pp. 363-376
-
-
Puente, C.1
Olague, G.2
Smith, S.V.3
Bullock, S.H.4
Hinojosa-Corona, A.5
González-Botello, M.A.6
-
39
-
-
84894171846
-
A new prompt for building extraction in high resolution remotely sensed imagery
-
A. H. Souri, A. Mohammadi, and M. A. Sharifi, “A new prompt for building extraction in high resolution remotely sensed imagery,” in Proc. Int. Archives of the Photogrammetry, Remote Sensing, and Spatial Information Sciences (2013), pp. 405–408.
-
(2013)
Proc. Int. Archives of the Photogrammetry, Remote Sensing, and Spatial Information Sciences
, pp. 405-408
-
-
Souri, A.H.1
Mohammadi, A.2
Sharifi, M.A.3
-
40
-
-
79957818977
-
Building extraction from high resolution color imagery based on edge flow driven active contour and JSEG
-
Y. Song and J. Shan, “Building extraction from high resolution color imagery based on edge flow driven active contour and JSEG,” IAPRSIS 37, 185–190 (2008).
-
(2008)
IAPRSIS
, vol.37
, pp. 185-190
-
-
Song, Y.1
Shan, J.2
-
41
-
-
70349642303
-
Automated building extraction from high-resolution satellite imagery using spectral and structural information based on artificial neural networks
-
Z. Lari, and H. Ebadi, “Automated building extraction from high-resolution satellite imagery using spectral and structural information based on artificial neural networks,” in Proc. ISPRS Workshop (Hannover, 2007).
-
(2007)
Proc. ISPRS Workshop
-
-
Lari, Z.1
Ebadi, H.2
-
42
-
-
84891817462
-
Using highresolution aerial photography and neural networks to inventory properties at risk of earthquakes
-
San Antonio, TX
-
L. Sahar, S. Muthukumar, and S. P. French, “Using highresolution aerial photography and neural networks to inventory properties at risk of earthquakes,” in Proc. MAPPS/ASPRS Fall Conf. (San Antonio, TX, 2006).
-
(2006)
Proc. MAPPS/ASPRS Fall Conf.
-
-
Sahar, L.1
Muthukumar, S.2
French, S.P.3
-
43
-
-
84924240258
-
Semantic labelling of urban point cloud data
-
A. M. Ramiya, R. R. Nidamanuri, and R. Krishnan, “Semantic labelling of urban point cloud data,” ISPRS-Int. Archives Photogrammetry, Remote Sensing Spatial Inf. Sci. 1, 907–911 (2014).
-
(2014)
ISPRS-Int. Archives Photogrammetry, Remote Sensing Spatial Inf. Sci.
, vol.1
, pp. 907-911
-
-
Ramiya, A.M.1
Nidamanuri, R.R.2
Krishnan, R.3
-
44
-
-
84911383062
-
Developing remote sensing methodology to distinguish urban builtup areas and bare land in Mafikeng town, South Africa
-
L. G. Palamuleni, and N. N. Ndou, “Developing remote sensing methodology to distinguish urban builtup areas and bare land in Mafikeng town, South Africa,” in Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS) (Quebec, 2014), pp. 2205–2208.
-
(2014)
Proc. IEEE Int. Geoscience and Remote Sensing Symp.
, pp. 2205-2208
-
-
Palamuleni, L.G.1
Ndou, N.N.2
-
45
-
-
85020811142
-
SVM classification of urban high-resolution imagery using composite kernels and contour information
-
D. Mammass, A. Elhassouny, and D. Ducrot, “SVM classification of urban high-resolution imagery using composite kernels and contour information,” Statistics 4 (7), 126–141 (2013).
-
(2013)
Statistics
, vol.4
, Issue.7
, pp. 126-141
-
-
Mammass, D.1
Elhassouny, A.2
Ducrot, D.3
-
46
-
-
84892161220
-
Building detection from pansharpened Ikonos imagery through support vector machines classification
-
M. Turker, and K. San, “Building detection from pansharpened Ikonos imagery through support vector machines classification,” in Proc. 8th ISPRS Technical Com. Symp. (Kyoto, 2010), pp. 841–846.
-
(2010)
Proc. 8th ISPRS Technical Com. Symp.
, pp. 841-846
-
-
Turker, M.1
San, K.2
-
47
-
-
84920677344
-
Building extraction from high-resolution optical spaceborne images using the integration of support vector machine (SVM) classification, Hough transformation and perceptual grouping
-
M. Turker, and D. Koc-San, “Building extraction from high-resolution optical spaceborne images using the integration of support vector machine (SVM) classification, Hough transformation and perceptual grouping,” Int. J. Appl. Earth Observ. Geoinf. 34, 58–69 (2015).
-
(2015)
Int. J. Appl. Earth Observ. Geoinf.
, vol.34
, pp. 58-69
-
-
Turker, M.1
Koc-San, D.2
-
48
-
-
84926662675
-
Nearest neighbor pattern classification
-
T. M. Cover and P. E. Hart, “Nearest neighbor pattern classification,” IEEE Trans. Inf. Theory 13 (1), 21–27 (1967).
-
(1967)
IEEE Trans. Inf. Theory
, vol.13
, Issue.1
, pp. 21-27
-
-
Cover, T.M.1
Hart, P.E.2
-
49
-
-
84921941015
-
Remote sensing and GIS for mapping and monitoring land cover and land use changes using support vector machine algorithm (Case study: Ilam dam watershed)
-
E. Shahkooeei, S. Arekhi, and A. N. Kani, “Remote sensing and GIS for mapping and monitoring land cover and land use changes using support vector machine algorithm (Case study: Ilam dam watershed),” Int. Res. J. Appl. Basic Sci. 8 (4), 464–473 (2014).
-
(2014)
Int. Res. J. Appl. Basic Sci.
, vol.8
, Issue.4
, pp. 464-473
-
-
Shahkooeei, E.1
Arekhi, S.2
Kani, A.N.3
-
50
-
-
84969929799
-
High efficient classification on remote sensing images based on SVM
-
Q. Z. Ge, Z. C. Ling, L. Qiong, X. X. Hui, and G. Zhang, “High efficient classification on remote sensing images based on SVM,” in Proc. Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2008), pp. 1011–1014.
-
(2008)
Proc. Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, pp. 1011-1014
-
-
Ge, Q.Z.1
Ling, Z.C.2
Qiong, L.3
Hui, X.X.4
Zhang, G.5
-
51
-
-
84891831761
-
A kernel-based feature selection method for SVM with RBF kernel for hyperspectral image classification
-
B. C. Kuo, H. H. Ho, C. H. Li, C. C. Hung, and J. S. Taur, “A kernel-based feature selection method for SVM with RBF kernel for hyperspectral image classification,” IEEE J. Selected Topics Appl. Earth Observ. Remote Sensing 7 (1), 317–326 (2014).
-
(2014)
IEEE J. Selected Topics Appl. Earth Observ. Remote Sensing
, vol.7
, Issue.1
, pp. 317-326
-
-
Kuo, B.C.1
Ho, H.H.2
Li, C.H.3
Hung, C.C.4
Taur, J.S.5
-
52
-
-
84921991935
-
River boundary delineationfrom remotely sensed imagery based on SVM and relaxation labeling of water index and DSM
-
P. Horkaew, S. Puttinaovarat, and K. Khaimook, “River boundary delineationfrom remotely sensed imagery based on SVM and relaxation labeling of water index and DSM,” J. Theor. Appl. Inform. Technol. 71 (3), 376–386 (2015).
-
(2015)
J. Theor. Appl. Inform. Technol.
, vol.71
, Issue.3
, pp. 376-386
-
-
Horkaew, P.1
Puttinaovarat, S.2
Khaimook, K.3
-
53
-
-
84926646564
-
Support vector machine for remote sensing image classification
-
H. Elmannai, M. A. Loghmari, and M. S. Naceur, “Support vector machine for remote sensing image classification,” in Proc. Int. Conf. on Control, Engineering, and Information Technology (Sousse, 2013), pp. 68–72.
-
(2013)
Proc. Int. Conf. on Control, Engineering, and Information Technology
, pp. 68-72
-
-
Elmannai, H.1
Loghmari, M.A.2
Naceur, M.S.3
-
54
-
-
85020760137
-
Estimation tree density as object-based in arid and semi-arid regionsusing ALOS
-
H. Fadaei, R. Suzuki, and R. Avtar, “Estimation tree density as object-based in arid and semi-arid regionsusing ALOS,” in Proc. 4th GEOBIA (Ghent, 2010), pp. 668–671.
-
(2010)
Proc. 4th GEOBIA
, pp. 668-671
-
-
Fadaei, H.1
Suzuki, R.2
Avtar, R.3
-
55
-
-
84876535859
-
Coastline extraction using support vector machine from remote sensing image
-
Z. Hannv, J. Qigang, and X. Jiang, “Coastline extraction using support vector machine from remote sensing image,” J. Multimedia 8 (2), 175–182 (2013).
-
(2013)
J. Multimedia
, vol.8
, Issue.2
, pp. 175-182
-
-
Hannv, Z.1
Qigang, J.2
Jiang, X.3
-
56
-
-
0031238275
-
Application of majority voting to pattern recognition: an analysis of its behavior and performance
-
L. Lam, and C. Y. Suen, “Application of majority voting to pattern recognition: an analysis of its behavior and performance,” IEEE Trans. Syst., Man Cybernet., Part A: Syst. Humans 27 (5), 553–568 (1997).
-
(1997)
IEEE Trans. Syst., Man Cybernet., Part A: Syst. Humans
, vol.27
, Issue.5
, pp. 553-568
-
-
Lam, L.1
Suen, C.Y.2
-
57
-
-
0031190038
-
Application of Dempster-Shafer evidence theory to unsupervised classification in multisource remote sensing
-
L. Hégarat-Mascle, I. Bloch, and D. Vidal-Madjar, “Application of Dempster-Shafer evidence theory to unsupervised classification in multisource remote sensing,” in Proc. IEEE Trans. Geosci. Remote Sensing 35 (4), 1018–1031 (1997).
-
(1997)
Proc. IEEE Trans. Geosci. Remote Sensing
, vol.35
, Issue.4
, pp. 1018-1031
-
-
Hégarat-Mascle, L.1
Bloch, I.2
Vidal-Madjar, D.3
-
58
-
-
33645837219
-
Automatic building detection using the Dempster-Shafer algorithm
-
Y. H. Lu, J. C. Trinder, and K. Kubik, “Automatic building detection using the Dempster-Shafer algorithm,” Photogrammetric Eng. Remote Sensing 72 (4), 395–403 (2006).
-
(2006)
Photogrammetric Eng. Remote Sensing
, vol.72
, Issue.4
, pp. 395-403
-
-
Lu, Y.H.1
Trinder, J.C.2
Kubik, K.3
-
59
-
-
84975093512
-
Multi-sensor multi-resolution image fusion for improved vegetation and urban area classification
-
U. Kumar, C. Milesi, R. R. Nemani, and S. Basu, “Multi-sensor multi-resolution image fusion for improved vegetation and urban area classification,” in Proc. Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2015), pp. 51–58.
-
(2015)
Proc. Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, pp. 51-58
-
-
Kumar, U.1
Milesi, C.2
Nemani, R.R.3
Basu, S.4
|