메뉴 건너뛰기




Volumn 26, Issue 1, 2014, Pages 235-245

Object-oriented mapping of urban trees using random forestclassifiers

Author keywords

Feature selection; Object based image analysis; Random forest classifier; Urban trees; VHR satellite images

Indexed keywords

IMAGE ANALYSIS; IMAGE CLASSIFICATION; SATELLITE DATA; SATELLITE IMAGERY; SPATIAL RESOLUTION; TREE; URBAN AREA; URBAN DEVELOPMENT; URBAN FORESTRY; URBAN PLANNING; VEGETATION MAPPING;

EID: 84897879307     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2013.07.002     Document Type: Article
Times cited : (178)

References (68)
  • 5
    • 0035382401 scopus 로고    scopus 로고
    • What's wrong with pixels? Some recent developmentsinterfacing remote sensing
    • Blaschke, T., Strobl, J., 2001. What's wrong with pixels? Some recent developmentsinterfacing remote sensing. GIS - Journal of Geographic information Systems 6,12-17
    • (2001) GIS - Journal of Geographic information Systems , vol.6 , pp. 12-17
    • Blaschke, T.1    Strobl, J.2
  • 8
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L., 2001. Random forests. Machine Learning 45, 5-32
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 13
    • 0026278621 scopus 로고
    • A review of assessing the accuracy of classifications of remotelysensed data
    • Congalton, R., 1991. A review of assessing the accuracy of classifications of remotelysensed data. Remote Sensing of Environment 37, 35-46.
    • (1991) Remote Sensing of Environment , vol.37 , pp. 35-46
    • Congalton, R.1
  • 14
    • 85030972557 scopus 로고    scopus 로고
    • eCognition 8 64. 1 Reference Book
    • Defienens, Trimble Documentation,Munich, Germany
    • Defienens, 2011. eCognition 8.64.1 Reference Book. Trimble Documentation,Munich, Germany
    • (2011)
  • 15
    • 84923876879 scopus 로고    scopus 로고
    • Proceedings of the International Societyfor Photogrammetry and Remote Sensing Symposium (ISPRS10), Austria
    • Dey, V., Zhang, Y., Zhong, M., 2010. A review on image segmentation techniqueswith remote sensing perspective. In: Proceedings of the International Societyfor Photogrammetry and Remote Sensing Symposium (ISPRS10), vol. XXXVIII(Part 7A), Austria, pp. 31-42.
    • (2010) A review on image segmentation techniqueswith remote sensing perspective , vol.38 , Issue.PART 7A , pp. 31-42
    • Dey, V.1    Zhang, Y.2    Zhong, M.3
  • 16
    • 30644464444 scopus 로고    scopus 로고
    • Gene selection and classification ofmicroarray data using random forest
    • Diaz-Uriarte, R., Alvarez de Andres, S., 2006. Gene selection and classification ofmicroarray data using random forest. BMC Bioinformatics, 7.
    • (2006) BMC Bioinformatics , pp. 7
    • Diaz-Uriarte, R.1    Alvarez de Andres, S.2
  • 18
    • 77951189897 scopus 로고    scopus 로고
    • ESP: a tool to estimate scale parameter for mul-tiresolution image segmentation of remotely sensed data
    • Drǎguţ, L., Tiede, D., Levick, S.R., 2010. ESP: a tool to estimate scale parameter for mul-tiresolution image segmentation of remotely sensed data. International Journalof Geographical Information Science 24, 859-871.
    • (2010) International Journalof Geographical Information Science , vol.24 , pp. 859-871
    • Drǎguţ, L.1    Tiede, D.2    Levick, S.R.3
  • 19
    • 84455200427 scopus 로고    scopus 로고
    • A comparison of pixel-based andobject-based image analysis with selected machine learning algorithms for theclassification of agricultural landscapes using SPOT-5 HRG imagery
    • Duro, D.C., Franklin, S.E., Dubé, M.G., 2012a. A comparison of pixel-based andobject-based image analysis with selected machine learning algorithms for theclassification of agricultural landscapes using SPOT-5 HRG imagery. RemoteSensing of Environment 118, 259-272.
    • (2012) RemoteSensing of Environment , vol.118 , pp. 259-272
    • Duro, D.C.1    Franklin, S.E.2    Dubé, M.G.3
  • 20
    • 84856982478 scopus 로고    scopus 로고
    • Multi-scale object-based image analysisand feature selection of multi-sensor earth observation imagery using randomforests
    • Duro, D.C., Franklin, S.E., Dubé, M.C., 2012b. Multi-scale object-based image analysisand feature selection of multi-sensor earth observation imagery using randomforests. International Journal of Remote Sensing 33, 4226-4502.
    • (2012) International Journal of Remote Sensing , vol.33 , pp. 4226-4502
    • Duro, D.C.1    Franklin, S.E.2    Dubé, M.C.3
  • 22
    • 38049174973 scopus 로고    scopus 로고
    • When overlap-ping unexpectedly alters the class imbalance effects
    • Martí, J., Benedí, J.,Mendonç a, A., Serrat, J. (Eds.), Springer,Berlin/Heidelberg
    • García, V., Mollineda, R., Sánchez, J., Alejo, R., Sotoca, J., 2007. When overlap-ping unexpectedly alters the class imbalance effects. In: Martí, J., Benedí, J.,Mendonç a, A., Serrat, J. (Eds.), Lecture Notes in Computer Science. Springer,Berlin/Heidelberg, pp. 499-506.
    • (2007) Lecture Notes in Computer Science , pp. 499-506
    • García, V.1    Mollineda, R.2    Sánchez, J.3    Alejo, R.4    Sotoca, J.5
  • 28
    • 84897841332 scopus 로고    scopus 로고
    • IGN Données - Services - Prestations de l'Institut national de l'Informationgéographique et forstière
    • IGN, 2012. Données - Services - Prestations de l'Institut national de l'Informationgéographique et forstière, 57p.
    • (2012) , pp. 57
  • 31
    • 79957819255 scopus 로고    scopus 로고
    • Unsupervised image segmentation evaluation and refine-ment using a multi-scale approach
    • Johnson, B., Xie, Z., 2011. Unsupervised image segmentation evaluation and refine-ment using a multi-scale approach. ISPRS Journal of Photogrammetry andRemote Sensing 66, 473-483.
    • (2011) ISPRS Journal of Photogrammetry andRemote Sensing , vol.66 , pp. 473-483
    • Johnson, B.1    Xie, Z.2
  • 33
    • 0035124583 scopus 로고    scopus 로고
    • A comparison of multispectraland multitemporal information in high spatial resolution imagery for classifica-tion of individual tree species in a temperate hardwood forest
    • Key, T., Warne, T.A., McGraw, J.B., Fajvan, M.A., 2001. A comparison of multispectraland multitemporal information in high spatial resolution imagery for classifica-tion of individual tree species in a temperate hardwood forest. Remote Sensingof Environment 75, 100-112.
    • (2001) Remote Sensingof Environment , vol.75 , pp. 100-112
    • Key, T.1    Warne, T.A.2    McGraw, J.B.3    Fajvan, M.A.4
  • 34
    • 79957652511 scopus 로고    scopus 로고
    • Where the grass is greener - mapping of urban green structures according torelative importance in the eyes of the citizens
    • 1st EARSeL Workshop of theSIG Urban Remote Sensing, Berlin, Germany
    • Lang, S., Jekel, T., Hölbling, D., Schöpfer, E., Prinz, T., Kloyber, E., Blaschke, T., 2006.Where the grass is greener - mapping of urban green structures according torelative importance in the eyes of the citizens. In: 1st EARSeL Workshop of theSIG Urban Remote Sensing, Berlin, Germany, pp. 1-8
    • (2006) , pp. 1-8
    • Lang, S.1    Jekel, T.2    Hölbling, D.3    Schöpfer, E.4    Prinz, T.5    Kloyber, E.6    Blaschke, T.7
  • 35
    • 31344453556 scopus 로고    scopus 로고
    • Mapping invasive plants using hyper-spectral imagery and Breiman Cutler classifications (randomForest)
    • Lawrence, R.L., Wood, S.D., Sheley, R.L., 2006. Mapping invasive plants using hyper-spectral imagery and Breiman Cutler classifications (randomForest). RemoteSensing of Environment 100, 356-362
    • (2006) RemoteSensing of Environment , vol.100 , pp. 356-362
    • Lawrence, R.L.1    Wood, S.D.2    Sheley, R.L.3
  • 37
    • 0345040873 scopus 로고    scopus 로고
    • Classification and Regression by random forest
    • Liaw, A., Wiener, M., 2002. Classification and Regression by random forest. R News2, 18-22.
    • (2002) R News , vol.2 , pp. 18-22
    • Liaw, A.1    Wiener, M.2
  • 38
    • 82155192323 scopus 로고    scopus 로고
    • Segment opti-mization and data-driven thresholding for knowledge-based landslide detectionby object-based image analysis
    • Martha, T.R., Kerle, N., van Westen, C.J., Jetten, V., Kumar, K.V., 2011. Segment opti-mization and data-driven thresholding for knowledge-based landslide detectionby object-based image analysis. IEEE Transactions on Geoscience and RemoteSensing 49, 4928-4943.
    • (2011) IEEE Transactions on Geoscience and RemoteSensing , vol.49 , pp. 4928-4943
    • Martha, T.R.1    Kerle, N.2    van Westen, C.J.3    Jetten, V.4    Kumar, K.V.5
  • 39
    • 34249108636 scopus 로고    scopus 로고
    • Mapping private gardens in urban areasusing object-oriented techniques and very high-resolution satellite imagery
    • Mathieu, R., Freeman, C., Aryal, J., 2007. Mapping private gardens in urban areasusing object-oriented techniques and very high-resolution satellite imagery.Landscape and Urban Planning 81, 179-192.
    • (2007) Landscape and Urban Planning , vol.81 , pp. 179-192
    • Mathieu, R.1    Freeman, C.2    Aryal, J.3
  • 40
    • 57849083431 scopus 로고    scopus 로고
    • The use of gradient analysis studies in advancingour understanding of the ecology of urbanizing landscapes: current status andfuture directions
    • McDonnell, M.J., Hahs, A.K., 2008. The use of gradient analysis studies in advancingour understanding of the ecology of urbanizing landscapes: current status andfuture directions. Landscape Ecology 23, 1143-1155.
    • (2008) Landscape Ecology , vol.23 , pp. 1143-1155
    • McDonnell, M.J.1    Hahs, A.K.2
  • 41
    • 33947498143 scopus 로고    scopus 로고
    • Remote sensing of urban vegetation life form by spectralmixture analysis of high-resolution Ikonos satellite images
    • Nichol, J., Wong, M.S., 2007. Remote sensing of urban vegetation life form by spectralmixture analysis of high-resolution Ikonos satellite images. International Journalof Remote Sensing 28, 985-1000.
    • (2007) International Journalof Remote Sensing , vol.28 , pp. 985-1000
    • Nichol, J.1    Wong, M.S.2
  • 42
    • 13344278660 scopus 로고    scopus 로고
    • Random forest classifier for remote sensing classification
    • Pal, M., 2005. Random forest classifier for remote sensing classification. InternationalJournal of Remote Sensing 26, 217-222
    • (2005) InternationalJournal of Remote Sensing , vol.26 , pp. 217-222
    • Pal, M.1
  • 43
    • 0027658896 scopus 로고
    • A review on image segmentation techniques
    • Pal, N.R., Pal, S.K., 1993. A review on image segmentation techniques. Pattern Recog-nition 29, 1277-1294.
    • (1993) Pattern Recog-nition , vol.29 , pp. 1277-1294
    • Pal, N.R.1    Pal, S.K.2
  • 46
    • 10844243102 scopus 로고    scopus 로고
    • Issues related to delineation of forest boundarieson Landsat Thematic Mapper winter images
    • Peterson, J., Pussa, K., Liira, J., 2004. Issues related to delineation of forest boundarieson Landsat Thematic Mapper winter images. International Journal of RemoteSensing 25, 5617-5628.
    • (2004) International Journal of RemoteSensing , vol.25 , pp. 5617-5628
    • Peterson, J.1    Pussa, K.2    Liira, J.3
  • 47
    • 67649800338 scopus 로고    scopus 로고
    • How do people perceive the city's green space
    • IEEE International Geoscienceand Remote Sensing Symposium, IGARSS 2008
    • Pham, T.T.H., He, D.C., 2008. How do people perceive the city's green space? A viewfrom satellite imagery (in Hanoi, Vietnam). In: IEEE International Geoscienceand Remote Sensing Symposium, IGARSS 2008, vol. 3, pp. 1228-1231.
    • (2008) A viewfrom satellite imagery (in Hanoi Vietnam) , vol.3 , pp. 1228-1231
    • Pham, T.T.H.1    He, D.C.2
  • 48
    • 84997093522 scopus 로고    scopus 로고
    • Mapping the greenscapeand environmental equity in Montreal: an application of remote sensing andGIS
    • Caquart, S.B., Vaughan, L., Cartwright, W. (Eds.), Springer-Verlag,Berlin
    • Pham, T.T.H., Apparicio, P., Séguin, A.M., Gagnon, M., 2011. Mapping the greenscapeand environmental equity in Montreal: an application of remote sensing andGIS. In: Caquart, S.B., Vaughan, L., Cartwright, W. (Eds.), Mapping EnvironmentalIssues in the City: Arts and Cartography Cross Perspectives. Springer-Verlag,Berlin, pp. 30-48.
    • (2011) Mapping EnvironmentalIssues in the City: Arts and Cartography Cross Perspectives , pp. 30-48
    • Pham, T.T.H.1    Apparicio, P.2    Séguin, A.M.3    Gagnon, M.4
  • 49
    • 33645330972 scopus 로고    scopus 로고
    • Newer classification and regression treetechniques: bagging and random forests for ecological prediction
    • Prasad, A.M., Iverson, L.R., Liaw, A., 2006. Newer classification and regression treetechniques: bagging and random forests for ecological prediction. Ecosystems9, 181-199.
    • (2006) Ecosystems , vol.9 , pp. 181-199
    • Prasad, A.M.1    Iverson, L.R.2    Liaw, A.3
  • 51
    • 85030972161 scopus 로고    scopus 로고
    • R Development Core Team R: A language and environment for statisticalcomputing. R Foundation for Statistical Computing, Vienna, Austria
    • R Development Core Team, 2012. R: A language and environment for statisticalcomputing. R Foundation for Statistical Computing, Vienna, Austria.
    • (2012)
  • 54
    • 70449336666 scopus 로고    scopus 로고
    • Discriminatingsmall wooded elements in rural landscape from aerial photography: a hybridpixel/object-based analysis approach
    • Sheeren, D., Bastin, N., Ouin, A., Balent, G., Lacombe, J.P., 2009. Discriminatingsmall wooded elements in rural landscape from aerial photography: a hybridpixel/object-based analysis approach. International Journal of Remote Sensing30, 4979-4990.
    • (2009) International Journal of Remote Sensing , vol.30 , pp. 4979-4990
    • Sheeren, D.1    Bastin, N.2    Ouin, A.3    Balent, G.4    Lacombe, J.P.5
  • 55
    • 79957650754 scopus 로고    scopus 로고
    • Image segmentation scale parameter optimization and land coverclassification using the random forest algorithm
    • Smith, A., 2010. Image segmentation scale parameter optimization and land coverclassification using the random forest algorithm. Journal of Spatial Science 55,69-79.
    • (2010) Journal of Spatial Science , vol.55 , pp. 69-79
    • Smith, A.1
  • 56
    • 79960743609 scopus 로고    scopus 로고
    • Object-oriented mapping of landslides using randomforests
    • Stumpf, A., Kerle, N., 2011. Object-oriented mapping of landslides using randomforests. Remote Sensing of Environment 115, 2564-2577.
    • (2011) Remote Sensing of Environment , vol.115 , pp. 2564-2577
    • Stumpf, A.1    Kerle, N.2
  • 60
    • 58149105396 scopus 로고    scopus 로고
    • Extracting urban vegetation characteristics usingspectral mixture analysis and decision tree classifications
    • Tooke, T.R., Coops, N.C., et al., 2009. Extracting urban vegetation characteristics usingspectral mixture analysis and decision tree classifications. Remote Sensing ofEnvironment 113 (2), 398-407.
    • (2009) Remote Sensing ofEnvironment , vol.113 , Issue.2 , pp. 398-407
    • Tooke, T.R.1    Coops, N.C.2
  • 62
    • 11144255291 scopus 로고    scopus 로고
    • Performance of different spectral and texturalaerial photograph features in multi-source forest inventory
    • Tuominen, S., Pekkarinen, A., 2005. Performance of different spectral and texturalaerial photograph features in multi-source forest inventory. Remote Sensing ofEnvironment 94, 256-268.
    • (2005) Remote Sensing ofEnvironment , vol.94 , pp. 256-268
    • Tuominen, S.1    Pekkarinen, A.2
  • 63
    • 79954443140 scopus 로고    scopus 로고
    • Classification and quantification of green in theexpanding urban and semi-urban complex: application of detailed field dataand Ikonos-imagery
    • Van Delm, A., Gulinck, H., 2011. Classification and quantification of green in theexpanding urban and semi-urban complex: application of detailed field dataand Ikonos-imagery. Ecological Indicators 11, 52-60.
    • (2011) Ecological Indicators , vol.11 , pp. 52-60
    • Van Delm, A.1    Gulinck, H.2
  • 68
    • 85009541463 scopus 로고    scopus 로고
    • Object-oriented method for urban vegetationmapping using Ikonos imagery
    • Zhang, X., Feng, X., Jiang, H., 2010. Object-oriented method for urban vegetationmapping using Ikonos imagery. International Journal of Remote Sensing 31,177-196.
    • (2010) International Journal of Remote Sensing , vol.31 , pp. 177-196
    • Zhang, X.1    Feng, X.2    Jiang, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.