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Volumn 2016-January, Issue , 2016, Pages 1093-1098

Random forest and objected-based classification for forest pest extraction from uav aerial imagery

Author keywords

Forest pest; Random forest; Simple linear iterative cluster (SLIC); Superpixel; Texture; Unmanned aerial vehicle (UAV) aerial imagery

Indexed keywords

AERIAL PHOTOGRAPHY; DECISION TREES; EXTRACTION; IMAGE SEGMENTATION; ITERATIVE METHODS; PIXELS; REMOTE SENSING; TEXTURES; UNMANNED AERIAL VEHICLES (UAV);

EID: 84987924253     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5194/isprsarchives-XLI-B1-1093-2016     Document Type: Conference Paper
Times cited : (41)

References (29)
  • 1
    • 27844466622 scopus 로고    scopus 로고
    • Vegetation dynamics on an abandoned vacuum-mined peatland: 5 years of monitoring
    • Lavoie, C.; Saint-Louis, A., 2005. Lachance, D. Vegetation dynamics on an abandoned vacuum-mined peatland: 5 years of monitoring. Wetlands Ecol. Manag. 13, 621-633.
    • (2005) Wetlands Ecol. Manag , vol.13 , pp. 621-633
    • Lavoie, C.1    Louis, A.2    Lachance, D.3
  • 2
    • 70249134566 scopus 로고    scopus 로고
    • Changes in plant communities over three decades on two disturbed bogs in southeastern québec
    • Pellerin, S.; Mercure, M.; Desaulniers, A.S., 2008 Lavoie, C. Changes in plant communities over three decades on two disturbed bogs in southeastern Québec. Appl. Veg. Sci. 107-118.
    • (2008) Appl. Veg. Sci , pp. 107-118
    • Pellerin, S.1    Mercure, M.2    Desaulniers, A.S.3    Lavoie, C.4
  • 3
    • 33744977717 scopus 로고    scopus 로고
    • Assessment of quickbird high spatial resolution imagery to detect red attack damage due to mountain pine beetle infestation
    • Coops, N.C.; Johnson, M.; Wulder, M.A., 2006. White, J.C. Assessment of QuickBird high spatial resolution imagery to detect red attack damage due to mountain pine beetle infestation. Remote Sens. Environ. 103, 67-80.
    • (2006) Remote Sens. Environ , vol.103 , pp. 67-80
    • Coops, N.C.1    Johnson, M.2    Wulder, M.A.3    White, J.C.4
  • 4
    • 77952426756 scopus 로고    scopus 로고
    • Object-orientated image analysis for the semi-Automatic detection of dead trees following a spruce bark beetle (ips. Typographus) outbreak
    • Heurich, M.; Ochs, T.; Andresen, T.; Schneider, T., 2010. Object-orientated image analysis for the semi-Automatic detection of dead trees following a spruce bark beetle (Ips. typographus) outbreak. Eur. J. Forest Res., 129, 313-324.
    • (2010) Eur. J. Forest Res , vol.129 , pp. 313-324
    • Heurich, M.1    Ochs, T.2    Andresen, T.3    Schneider, T.4
  • 5
    • 84880814356 scopus 로고    scopus 로고
    • Early detection of bark beetle green attack using terrasar-x and rapideye data
    • Ortiz, S. M., Breidenbach, J., & Gerald Kndler., 2013. Early detection of bark beetle green attack using terrasar-x and rapideye data. Remote Sensing, 5(4), 1912-1931.
    • (2013) Remote Sensing , vol.5 , Issue.4 , pp. 1912-1931
    • Ortiz, S.M.1    Breidenbach, J.2    Kndler, G.3
  • 6
    • 33745615125 scopus 로고    scopus 로고
    • Object-based detailed vegetation classification with airbourne high spatial resolution remote sensing imagery
    • Yu, Q.; Gong, P.; Clinton, N.; Biging, G.; Kelly, M.; Schirokauer, D., 2006. Object-based detailed vegetation classification with airbourne high spatial resolution remote sensing imagery. Photogramm. Eng. Remote Sens. 72, 799-811.
    • (2006) Photogramm. Eng. Remote Sens , vol.72 , pp. 799-811
    • Yu, Q.1    Gong, P.2    Clinton, N.3    Biging, G.4    Kelly, M.5    Schirokauer, D.6
  • 7
    • 0034119997 scopus 로고    scopus 로고
    • Using remote sensing to detect weed infestations in glycine max
    • Medlin, C.; Shaw, D.; Gerard, P.; LaMastus, F., 2000. Using remote sensing to detect weed infestations in glycine max. Weed Sci., 48, 393-398.
    • (2000) Weed Sci , vol.48 , pp. 393-398
    • Medlin, C.1    Shaw, D.2    Gerard, P.3    LaMastus, F.4
  • 8
    • 0037333559 scopus 로고    scopus 로고
    • Mountain pine beetle red-Attack forest damage classification using stratified landsat tm data in British Columbia, Canada
    • Germany
    • Franklin, S.E.; Wulder, M.A.; Skakun, R.S.; Carroll, A.L., 2003. Mountain pine beetle red-Attack forest damage classification using stratified Landsat TM data in British Columbia, Canada. Photogramm. Eng. Remote Sens. 69, 283-288 Germany.
    • (2003) Photogramm. Eng. Remote Sens , vol.69 , pp. 283-288
    • Franklin, S.E.1    Wulder, M.A.2    Skakun, R.S.3    Carroll, A.L.4
  • 9
    • 41049095139 scopus 로고    scopus 로고
    • Monitoring an invasive perennial at the landscape scale with remote sensing
    • Lawes, R.; Wallace, J., 2008. Monitoring an invasive perennial at the landscape scale with remote sensing. Ecol. Manag. Restor. 9, 53-58.
    • (2008) Ecol. Manag. Restor , vol.9 , pp. 53-58
    • Lawes, R.1    Wallace, J.2
  • 10
    • 60749114973 scopus 로고    scopus 로고
    • Comparison of two types of forest disturbance using multitemporal landsat tm/etm+ imagery and field vegetation data
    • Hais, M.; Jonášová, M.; Langhammer, J.; Kučera, T. 2009. Comparison of two types of forest disturbance using multitemporal Landsat TM/ETM+ imagery and field vegetation data. Remote Sens. Environ. 113, 835-845.
    • (2009) Remote Sens. Environ , vol.113 , pp. 835-845
    • Hais, M.1    Jonášová, M.2    Langhammer, J.3    Kučera, T.4
  • 11
    • 78650578545 scopus 로고    scopus 로고
    • Technological development of forest pest monitoring
    • Aril
    • H. G. Wu, Q. W. Zeng, 2008. "Technological Development of Forest Pest Monitoring, " Journal of Catastrophology, vol.23, Aril. pp. 106-109.
    • (2008) Journal of Catastrophology , vol.23 , pp. 106-109
    • Wu, H.G.1    Zeng, Q.W.2
  • 12
    • 32744470707 scopus 로고
    • The spectral characteristics of pines infected with dendrolimus and pest early detection mode
    • Oct
    • J. Y. Su, J. Ni., 1995. "The spectral characteristics of pines infected with Dendrolimus and pest early detection mode, " Remote Sensing of Environment, vol.10, Oct., pp. 250-257.
    • (1995) Remote Sensing of Environment , vol.10 , pp. 250-257
    • Su, J.Y.1    Ni, J.2
  • 14
    • 57649136583 scopus 로고    scopus 로고
    • Predictive mapping of floristic site conditions across mire habitats: Evaluating data requirements
    • Ecker, K.; Küchler, M.; Feldmeyer-Christe, E.; Graf, U.; Waser, L.T. Predictive mapping of floristic site conditions across mire habitats: Evaluating data requirements. Community Ecol. 2008, 9, 133-146.
    • (2008) Community Ecol , vol.9 , pp. 133-146
    • Ecker, K.1    Küchler, M.2    Feldmeyer-Christe, E.3    Graf, U.4    Waser, L.T.5
  • 17
    • 84866657764 scopus 로고    scopus 로고
    • Slic superpixels compared to state-of-The-Art superpixel methods
    • R. Achanta et al., "SLIC superpixels compared to state-of-The-Art superpixel methods, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 11, pp. 2274-2282, 2012.
    • (2012) IEEE Trans. Pattern Anal. Mach. Intell , vol.34 , Issue.11 , pp. 2274-2282
    • Achanta, R.1
  • 19
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman. Random forests. Machine Learning, 45:5-32, 2001.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 20
    • 0345040873 scopus 로고    scopus 로고
    • Classification and regression by random forest
    • Liaw, A., Wiener, M., 2002. Classification and regression by random forest. R News 2 (3), 18-22.
    • (2002) R News , vol.2 , Issue.3 , pp. 18-22
    • Liaw, A.1    Wiener, M.2
  • 22
    • 84864059224 scopus 로고    scopus 로고
    • Jurief. Fast discriminative visual codebooks using randomized clustering forests
    • Moosmann, F., & Triggs, B. (2006). Jurief. fast discriminative visual codebooks using randomized clustering forests. Nips, 985-992.
    • (2006) Nips , pp. 985-992
    • Moosmann, F.1    Triggs, B.2
  • 24
    • 33845597355 scopus 로고    scopus 로고
    • The layout consistent random field for recognizing and segmenting partially occluded objects
    • Winn, J., & Shotton, J. (2006). The layout consistent random field for recognizing and segmenting partially occluded objects. Proceedings of IEEE Cvpr, 1, 37-44.
    • (2006) Proceedings of IEEE Cvpr , vol.1 , pp. 37-44
    • Winn, J.1    Shotton, J.2
  • 25
    • 84927582865 scopus 로고    scopus 로고
    • Random forest and rotation forest for fully polarized sar image classification using polarimetric and spatial features
    • Du, P., Samat, A., Waske, B., Liu, S., & Li, Z. (2015). Random forest and rotation forest for fully polarized sar image classification using polarimetric and spatial features. Isprs Journal of Photogrammetry & Remote Sensing, 105, 38-53.
    • (2015) Isprs Journal of Photogrammetry & Remote Sensing , pp. 38-53
    • Du, P.1    Samat, A.2    Waske, B.3    Liu, S.4    Li, Z.5
  • 26
    • 69849104695 scopus 로고    scopus 로고
    • Classifier ensembles for land cover mapping using multitemporal sar imagery
    • Waske, B., Braun, M., 2009. Classifier ensembles for land cover mapping using multitemporal SAR imagery. ISPRS J. Photogram. Remote Sens. 64 (5), 450-457.
    • (2009) ISPRS J. Photogram. Remote Sens , vol.64 , Issue.5 , pp. 450-457
    • Waske, B.1    Braun, M.2
  • 28
    • 82655178425 scopus 로고    scopus 로고
    • A novel algorithm for land use and land cover classification using RADARSAT-2 polarimetric SAR data
    • Qi, Z., Yeh, A.G.O., Li, X., Lin, Z., 2012. A novel algorithm for land use and land cover classification using RADARSAT-2 polarimetric SAR data. Remote Sens. Environ. 118, 21-39.
    • (2012) Remote Sens. Environ , vol.118 , pp. 21-39
    • Qi, Z.1    Yeh, A.G.O.2    Li, X.3    Lin, Z.4
  • 29
    • 84898442749 scopus 로고    scopus 로고
    • Ensemble learning with multiple classifiers and polarimetric features for polarized sar image classification
    • Samat, A., Du, P., Baig, M.H.A., Chakravarty, S., Cheng, L., 2014. Ensemble learning with multiple classifiers and polarimetric features for polarized SAR image classification. Photogram. Eng. Remote Sens. 80 (3), 239-251.
    • (2014) Photogram. Eng. Remote Sens , vol.80 , Issue.3 , pp. 239-251
    • Samat, A.1    Du, P.2    Baig, M.H.A.3    Chakravarty, S.4    Cheng, L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.