메뉴 건너뛰기




Volumn 8, Issue 5, 2015, Pages 2177-2187

Hyperspectral Tree Species Classification of Japanese Complex Mixed Forest with the Aid of Lidar Data

Author keywords

Classification; data fusion; forest; hyperspectral data; LiDAR

Indexed keywords

DATA FUSION; FORESTRY; OPTICAL RADAR; PIXELS; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING;

EID: 85027954925     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2417859     Document Type: Article
Times cited : (115)

References (45)
  • 2
    • 0041881831 scopus 로고    scopus 로고
    • Processing hyperion and ALI for forest classification
    • Jun.
    • D. Goodenough et al., "Processing hyperion and ALI for forest classification, " IEEE Trans. Geosci. Remote Sens., vol. 41, no. 6, pp. 1321-1331, Jun. 2003.
    • (2003) IEEE Trans. Geosci. Remote Sens. , vol.41 , Issue.6 , pp. 1321-1331
    • Goodenough, D.1
  • 3
    • 20044383980 scopus 로고    scopus 로고
    • Issues in species classification of trees in old growth conifer stands
    • D. G. Leckie et al., "Issues in species classification of trees in old growth conifer stands, " Can. J. Remote Sens., vol. 31, no. 2, pp. 175-190, 2005.
    • (2005) Can. J. Remote Sens. , vol.31 , Issue.2 , pp. 175-190
    • Leckie, D.G.1
  • 4
    • 21444447781 scopus 로고    scopus 로고
    • Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales
    • M. L. Clark, D. A. Roberts, and D. B. Clark, "Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales, " Remote Sens. Environ., vol. 96, no. 3-4, pp. 375-398, 2005.
    • (2005) Remote Sens. Environ. , vol.96 , Issue.3-4 , pp. 375-398
    • Clark, M.L.1    Roberts, D.A.2    Clark, D.B.3
  • 5
    • 0032157733 scopus 로고    scopus 로고
    • Determining forest species composition using high spectral resolution remote sensing data
    • M. Martin, S. Newman, J. Aber, and R. Congalton, "Determining forest species composition using high spectral resolution remote sensing data, " Remote Sens. Environ., vol. 65, no. 3, pp. 249-254, 1998.
    • (1998) Remote Sens. Environ. , vol.65 , Issue.3 , pp. 249-254
    • Martin, M.1    Newman, S.2    Aber, J.3    Congalton, R.4
  • 6
    • 70349172947 scopus 로고    scopus 로고
    • The role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areas
    • M. Dalponte, L. Bruzzone, L. Vescovo, and D. Gianelle, "The role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areas, " Remote Sens. Environ., vol. 113, no. 11, pp. 2345-2355, 2009.
    • (2009) Remote Sens. Environ. , vol.113 , Issue.11 , pp. 2345-2355
    • Dalponte, M.1    Bruzzone, L.2    Vescovo, L.3    Gianelle, D.4
  • 7
    • 56849127860 scopus 로고    scopus 로고
    • Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles
    • Nov.
    • M. Fauvel, J. A. Benediktsson, J. Chanussot, and J. R. Sveinsson, "Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles, " IEEE Trans. Geosci. Remote Sens., vol. 46, no. 11, pp. 3804-3814, Nov. 2008.
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , Issue.11 , pp. 3804-3814
    • Fauvel, M.1    Benediktsson, J.A.2    Chanussot, J.3    Sveinsson, J.R.4
  • 8
    • 0031202594 scopus 로고    scopus 로고
    • Estimating timber volume of forest stands using airborne laser scanner data
    • E. Næsset, "Estimating timber volume of forest stands using airborne laser scanner data, " Remote Sens. Environ., vol. 61, no. 2, pp. 246-253, 1997.
    • (1997) Remote Sens. Environ. , vol.61 , Issue.2 , pp. 246-253
    • Næsset, E.1
  • 9
    • 0035332402 scopus 로고    scopus 로고
    • A segmentationbased method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners
    • May
    • J. Hyyppä, O. Kelle, M. Lehikoinen, and M. Inkinen, "A segmentationbased method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners, " IEEE Trans. Geosci. Remote Sens., vol. 39, no. 5, pp. 969-975, May 2001.
    • (2001) IEEE Trans. Geosci. Remote Sens. , vol.39 , Issue.5 , pp. 969-975
    • Hyyppä, J.1    Kelle, O.2    Lehikoinen, M.3    Inkinen, M.4
  • 10
    • 2342646308 scopus 로고    scopus 로고
    • Identifying species of individual trees using airborne laser scanner
    • J. Holmgren and Å. Persson, "Identifying species of individual trees using airborne laser scanner, " Remote Sens. Environ., vol. 90, pp. 415-423, 2004.
    • (2004) Remote Sens. Environ. , vol.90 , pp. 415-423
    • Holmgren, J.1    Persson, A.2
  • 11
    • 84860363040 scopus 로고    scopus 로고
    • Tree species classification and estimation of stem volume and DBH based on single tree extraction by exploiting airborne full-waveform LiDAR data
    • W. Yao, P. Krzystek, and M. Heurich, "Tree species classification and estimation of stem volume and DBH based on single tree extraction by exploiting airborne full-waveform LiDAR data, " Remote Sens. Environ., vol. 123, pp. 368-380, 2012.
    • (2012) Remote Sens. Environ. , vol.123 , pp. 368-380
    • Yao, W.1    Krzystek, P.2    Heurich, M.3
  • 12
    • 0036788865 scopus 로고    scopus 로고
    • Remote sensing of forest pigments using airborne imaging spectrometer and LiDAR imagery
    • G. A. Blackburn, "Remote sensing of forest pigments using airborne imaging spectrometer and LiDAR imagery, " Remote Sens. Environ., vol. 82, no. 2-3, pp. 311-321, 2002.
    • (2002) Remote Sens. Environ. , vol.82 , Issue.2-3 , pp. 311-321
    • Blackburn, G.A.1
  • 13
    • 34648828198 scopus 로고    scopus 로고
    • Object-oriented classification of lidarfused hyperspectral imagery for tree species identification in an urban environment
    • R. Sugumaran and M. Voss, "Object-oriented classification of lidarfused hyperspectral imagery for tree species identification in an urban environment, " in Proc. Urban Remote Sens. Joint Event, 2007, pp. 1-6.
    • (2007) Proc. Urban Remote Sens. Joint Event , pp. 1-6
    • Sugumaran, R.1    Voss, M.2
  • 14
    • 41249102807 scopus 로고    scopus 로고
    • Invasive species detection in Hawaiian rainforests using airborne imaging spectroscopy and LiDAR
    • G. P. Asner et al., "Invasive species detection in Hawaiian rainforests using airborne imaging spectroscopy and LiDAR, " Remote Sens. Environ., vol. 112, pp. 1942-1955, 2008.
    • (2008) Remote Sens. Environ. , vol.112 , pp. 1942-1955
    • Asner, G.P.1
  • 15
    • 53349084895 scopus 로고    scopus 로고
    • Fusion of hyperspectral and lidar remote sensing data for classification of complex forest areas
    • May
    • M. Dalponte, L. Bruzzone, and D. Gianelle, "Fusion of hyperspectral and lidar remote sensing data for classification of complex forest areas, " IEEE Trans. Geosci. Remote Sens., vol. 46, no. 5, pp. 1416-1427, May 2008.
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , Issue.5 , pp. 1416-1427
    • Dalponte, M.1    Bruzzone, L.2    Gianelle, D.3
  • 16
    • 84859928062 scopus 로고    scopus 로고
    • Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data
    • M. Dalponte, L. Bruzzone, and D. Gianelle, "Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data, " Remote Sens. Environ., vol. 123, pp. 258-270, 2012.
    • (2012) Remote Sens. Environ. , vol.123 , pp. 258-270
    • Dalponte, M.1    Bruzzone, L.2    Gianelle, D.3
  • 17
    • 84884919541 scopus 로고    scopus 로고
    • Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data
    • Jan.
    • M. Dalponte, H. O. ∅rka, L. T. Ene, T. Gobakken, and E. Naesset, "Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data, " Remote Sens. Environ., vol. 140, pp. 306-317, Jan. 2014.
    • (2014) Remote Sens. Environ. , vol.140 , pp. 306-317
    • Dalponte, M.1    Emptyv, H.O.2    Rka3    Ene, L.T.4    Gobakken, T.5    Naesset, E.6
  • 18
    • 77956884950 scopus 로고    scopus 로고
    • Assessing the utility of airborne hyperspectral and LiDAR data for species distribution mapping in the coastal Pacific Northwest, Canada
    • T. G. Jones, N. C. Coops, and T. Sharma, "Assessing the utility of airborne hyperspectral and LiDAR data for species distribution mapping in the coastal Pacific Northwest, Canada, " Remote Sens. Environ., vol. 114, pp. 2841-2852, 2010.
    • (2010) Remote Sens. Environ. , vol.114 , pp. 2841-2852
    • Jones, T.G.1    Coops, N.C.2    Sharma, T.3
  • 19
    • 84898634853 scopus 로고    scopus 로고
    • Urban tree species mapping using hyperspectral and LiDAR data fusion
    • M. Alonzo, B. Bookhagen, and D. A. Roberts, "Urban tree species mapping using hyperspectral and LiDAR data fusion, " Remote Sens. Environ., vol. 148, pp. 70-83, 2014.
    • (2014) Remote Sens. Environ. , vol.148 , pp. 70-83
    • Alonzo, M.1    Bookhagen, B.2    Roberts, D.A.3
  • 20
    • 85028230077 scopus 로고    scopus 로고
    • Forestry and Forest Products Research Institute [Online]. Available: accessed on Feb. 2, 2015
    • Forestry and Forest Products Research Institute, Tama Forest Science Garden [Online]. Available: http://www.ffpri.affrc.go.jp/tmk/en/index. html, accessed on Feb. 2, 2015.
    • Tama Forest Science Garden
  • 22
    • 23944489377 scopus 로고    scopus 로고
    • De-shadowing of satellite/airborne imagery
    • R. Richter and A. Müller, "De-shadowing of satellite/airborne imagery, " Int. J. Remote Sens., vol. 26, no. 15, pp. 3137-3148, 2005.
    • (2005) Int. J. Remote Sens. , vol.26 , Issue.15 , pp. 3137-3148
    • Richter, R.1    Müller, A.2
  • 23
    • 81755164029 scopus 로고    scopus 로고
    • Illumination and shadow compensation of hyperspectral images using a digital surface model and non-linear least squares estimation
    • O. Friman, G. Tolt, and J. Ahlberg, "Illumination and shadow compensation of hyperspectral images using a digital surface model and non-linear least squares estimation, " in Proc. SPIE 8180 Image Signal Process. Remote Sens. XVII, vol. 81800Q, 2011, pp. 1-8.
    • (2011) Proc. SPIE 8180 Image Signal Process. Remote Sens. XVII , Issue.Q , pp. 1-8
    • Friman, O.1    Tolt, G.2    Ahlberg, J.3
  • 24
    • 27744496186 scopus 로고    scopus 로고
    • Integrated shadow removal based on photogrammetry and image analysis
    • Y. Li, P. Gong, and T. Sasagawa, "Integrated shadow removal based on photogrammetry and image analysis, " Int. J. Remote Sens., vol. 26, no. 18, pp. 3911-3929, 2005.
    • (2005) Int. J. Remote Sens. , vol.26 , Issue.18 , pp. 3911-3929
    • Li, Y.1    Gong, P.2    Sasagawa, T.3
  • 25
    • 0002081183 scopus 로고
    • Automating spectral unmixing of AVIRIS data using convex geometry concepts
    • JPL Publication 93-26
    • J. W. Boardman, "Automating spectral unmixing of AVIRIS data using convex geometry concepts, " in Proc. Summaries 4th Annu. JPL Airborne Geosci. Workshop, 1993, vol. 1, pp. 11-14. JPL Publication 93-26.
    • (1993) Proc. Summaries 4th Annu. JPL Airborne Geosci. Workshop , vol.1 , pp. 11-14
    • Boardman, J.W.1
  • 26
    • 16444373735 scopus 로고    scopus 로고
    • Vertex component analysis: A fast algorithm to unmix hyperspectral data
    • Apr.
    • J. M. P. Nascimento and J. M. B. Dias, "Vertex component analysis: A fast algorithm to unmix hyperspectral data, " IEEE Trans. Geosci. Remote Sens., vol. 43, no. 4, pp. 898-910, Apr. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.4 , pp. 898-910
    • Nascimento, J.M.P.1    Dias, J.M.B.2
  • 27
  • 28
    • 0035273728 scopus 로고    scopus 로고
    • Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery
    • Mar.
    • D. Heinz and C.-I. Chang, "Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery, " IEEE Trans. Geosci. Remote Sens., vol. 39, no. 3, pp. 529-545, Mar. 2001.
    • (2001) IEEE Trans. Geosci. Remote Sens. , vol.39 , Issue.3 , pp. 529-545
    • Heinz, D.1    Chang, C.-I.2
  • 29
    • 80053129356 scopus 로고    scopus 로고
    • A review of methods for automatic individual treecrown detection and delineation from passive remote sensing
    • Y. Ke and L. J. Quackenbush, "A review of methods for automatic individual treecrown detection and delineation from passive remote sensing, " Int. J. Remote Sens., vol. 32, no. 17, pp. 4725-4747, 2011.
    • (2011) Int. J. Remote Sens. , vol.32 , Issue.17 , pp. 4725-4747
    • Ke, Y.1    Quackenbush, L.J.2
  • 30
    • 28144446640 scopus 로고    scopus 로고
    • Comparison of three individual tree crown detection methods
    • M. Erikson and K. Olofsson, "Comparison of three individual tree crown detection methods, " Mach. Vision Appl., vol. 16, no. 4, pp. 258-265, 2005.
    • (2005) Mach. Vision Appl. , vol.16 , Issue.4 , pp. 258-265
    • Erikson, M.1    Olofsson, K.2
  • 32
    • 33644634573 scopus 로고    scopus 로고
    • Tree species discrimination using Z/I DMC imagery and template matching of single trees
    • K. Olofsson, J. Wallerman, J. Holmgren, and H. Olsson, "Tree species discrimination using Z/I DMC imagery and template matching of single trees, " Scand. J. For. Res., vol. 21, no. S7, pp. 106-110, 2006.
    • (2006) Scand. J. For. Res. , vol.21 , pp. 106-110
    • Olofsson, K.1    Wallerman, J.2    Holmgren, J.3    Olsson, H.4
  • 33
    • 0141451619 scopus 로고    scopus 로고
    • Segmentation of individual tree crowns in color aerial photographs using region growing supported by fuzzy rules
    • M. Erikson, "Segmentation of individual tree crowns in color aerial photographs using region growing supported by fuzzy rules, " Can. J. For. Res., vol. 33, no. 8, pp. 1557-1563, 2003.
    • (2003) Can. J. For. Res. , vol.33 , Issue.8 , pp. 1557-1563
    • Erikson, M.1
  • 34
    • 2942719059 scopus 로고    scopus 로고
    • Species classification of individually segmented tree crowns in high resolution aerial images using radiometric and morphologic image measures
    • M. Erikson, "Species classification of individually segmented tree crowns in high resolution aerial images using radiometric and morphologic image measures, " Remote Sens. Environ., vol. 91, no. 3-4, pp. 469-477, 2004.
    • (2004) Remote Sens. Environ. , vol.91 , Issue.3-4 , pp. 469-477
    • Erikson, M.1
  • 35
    • 84938077930 scopus 로고
    • A crown-following approach to the automatic delineation of individual tree crowns in high spatial resolution aerial images
    • F. A. Gougeon, "A crown-following approach to the automatic delineation of individual tree crowns in high spatial resolution aerial images, " Can. J. Remote Sens., vol. 21, no. 3, pp. 274-284, 1995.
    • (1995) Can. J. Remote Sens. , vol.21 , Issue.3 , pp. 274-284
    • Gougeon, F.A.1
  • 36
    • 67549121193 scopus 로고    scopus 로고
    • Individual tree crown delineation techniques for vegetation management in power line corridor
    • Z. Li, R. Hayward, J. Zhang, and Y. Liu, "Individual tree crown delineation techniques for vegetation management in power line corridor, " in Proc. Digital Image Comput. Techn. Appl. (DICTA), 2008, pp. 148-154.
    • (2008) Proc. Digital Image Comput. Techn. Appl. (DICTA) , pp. 148-154
    • Li, Z.1    Hayward, R.2    Zhang, J.3    Liu, Y.4
  • 37
    • 33645801594 scopus 로고    scopus 로고
    • Detection of individual tree crowns in airborne lidar data
    • B. Koch, U. Heyder, and H. Weinacker, "Detection of individual tree crowns in airborne lidar data, " Photogramm. Eng. Remote Sens., vol. 72, no. 4, pp. 357-363, 2006.
    • (2006) Photogramm. Eng. Remote Sens. , vol.72 , Issue.4 , pp. 357-363
    • Koch, B.1    Heyder, U.2    Weinacker, H.3
  • 38
    • 33845447262 scopus 로고    scopus 로고
    • Single tree segmentation using airborne laser scanner data in a structurally heterogeneous spruce forest
    • S. Solberg, E. Naesset, and O. M. Bollandsas, "Single tree segmentation using airborne laser scanner data in a structurally heterogeneous spruce forest, " Photogramm. Eng. Remote Sens., vol. 72, no. 12, pp. 1369-1378, 2006.
    • (2006) Photogramm. Eng. Remote Sens. , vol.72 , Issue.12 , pp. 1369-1378
    • Solberg, S.1    Naesset, E.2    Bollandsas, O.M.3
  • 39
    • 4344614511 scopus 로고    scopus 로고
    • Classification of hyperspectral remote sensing images with support vector machines
    • Aug.
    • F. Melgani and L. Bruzzone, "Classification of hyperspectral remote sensing images with support vector machines, " IEEE Trans. Geosci. Remote Sens., vol. 42, no. 8, pp. 1778-1790, Aug. 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens. , vol.42 , Issue.8 , pp. 1778-1790
    • Melgani, F.1    Bruzzone, L.2
  • 41
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • [Online]. Available: accessed on Aug. 18, 2013
    • C. Chang and C. Lin, "LIBSVM: A library for support vector machines, " ACM Trans. Intell. Syst. Technol., vol. 2, no. 3, pp. 27:1-27:27, 2011, [Online]. Available: http://www.csie.ntu.edu.tw/~cjlin/libsvm, accessed on Aug. 18, 2013.
    • (2011) ACM Trans. Intell. Syst. Technol. , vol.2 , Issue.3 , pp. 271-2727
    • Chang, C.1    Lin, C.2
  • 42
    • 84893959143 scopus 로고    scopus 로고
    • University of Houston, Outcome of the Best Classification Challenge of the 2013 [Online]. Available: accessed on Sep. 25 , 2014
    • University of Houston, Outcome of the "Best Classification Challenge" of the 2013 IEEE GRSS Data Fusion Contest , [Online]. Available: http://hyperspectral.ee.uh.edu/?page id=695, accessed on Sep. 25, 2014.
    • IEEE GRSS Data Fusion Contest
  • 44
    • 84957034599 scopus 로고    scopus 로고
    • The trilateral filter for high contrast images and meshes
    • New York, NY, USA
    • P. Choudhury and J. Tumblin, "The trilateral filter for high contrast images and meshes, " in Proc. ACM SIGGRAPH 2005 Courses (SIGGRAPH'05), New York, NY, USA, 2005, pp. 1-12.
    • (2005) Proc. ACM SIGGRAPH 2005 Courses (SIGGRAPH'05) , pp. 1-12
    • Choudhury, P.1    Tumblin, J.2
  • 45
    • 84880164554 scopus 로고    scopus 로고
    • Impact of training and validation sample selection on classification accuracy and accuracy assessment when using reference polygons in object-based classification
    • Z. Zhen, L. J. Quackenbush, S. V. Stehman, and L. Zhang, "Impact of training and validation sample selection on classification accuracy and accuracy assessment when using reference polygons in object-based classification, " Int. J. Remote Sens., vol. 34, no. 19, pp. 6914-6930, 2013.
    • (2013) Int. J. Remote Sens. , vol.34 , Issue.19 , pp. 6914-6930
    • Zhen, Z.1    Quackenbush, L.J.2    Stehman, S.V.3    Zhang, L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.