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Volumn 47, Issue , 2016, Pages 85-94

Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery

Author keywords

Object based image analysis; Remote sensing; Unmanned aerial vehicles (UAV); Weed detection

Indexed keywords

AGRICULTURE; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CROPS; FEATURE EXTRACTION; IMAGE ANALYSIS; LEARNING SYSTEMS; MAPPING; REMOTE SENSING; SUPERVISED LEARNING; UNMANNED AERIAL VEHICLES (UAV);

EID: 84949520283     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2015.10.043     Document Type: Article
Times cited : (145)

References (34)
  • 5
    • 0347948379 scopus 로고    scopus 로고
    • Exploitation of very high resolution satellite data for tree species identification
    • Carleer A., and Wolff E. Exploitation of very high resolution satellite data for tree species identification Photogrammetric Engineering & Remote Sensing 70 2004 135 140
    • (2004) Photogrammetric Engineering & Remote Sensing , vol.70 , pp. 135-140
    • Carleer, A.1    Wolff, E.2
  • 6
    • 84902191436 scopus 로고    scopus 로고
    • Evaluation of pixel-and object-based approaches for mapping wild oat (avena sterilis) weed patches in wheat fields using QuickBird imagery for site-specific management
    • Castillejo-González I.L., Peña J.M., Jurado-Expósito M., Mesas-Carrascosa F.J., and López-Granados F. Evaluation of pixel-and object-based approaches for mapping wild oat (avena sterilis) weed patches in wheat fields using QuickBird imagery for site-specific management European Journal of Agronomy 59 2014 57 66
    • (2014) European Journal of Agronomy , vol.59 , pp. 57-66
    • Castillejo-González, I.L.1    Peña, J.M.2    Jurado-Expósito, M.3    Mesas-Carrascosa, F.J.4    López-Granados, F.5
  • 7
    • 84904466762 scopus 로고    scopus 로고
    • A python-based open source system for geographic object-based image analysis (geobia) utilizing raster attribute tables
    • Clewley D., Bunting P., Shepherd J., Gillingham S., Flood N., Dymond J., and et al. A python-based open source system for geographic object-based image analysis (geobia) utilizing raster attribute tables Remote Sensing 6 2014 6111
    • (2014) Remote Sensing , vol.6 , pp. 6111
    • Clewley, D.1    Bunting, P.2    Shepherd, J.3    Gillingham, S.4    Flood, N.5    Dymond, J.6
  • 10
    • 84949518381 scopus 로고    scopus 로고
    • European Crop Protection Association (ECPA) URL:, industry statistics. Accessed 26.01.15
    • European Crop Protection Association (ECPA) (2015). URL: http://www.ecpa.eu/information-page/industry-statistics-ecpa-total, industry statistics. Accessed 26.01.15.
    • (2015)
  • 11
    • 84864429960 scopus 로고    scopus 로고
    • An efficient method for segmentation of images based on fractional calculus and natural selection
    • URL http:// www.sciencedirect.c om/science/article /pii/S0957417412006756
    • Ghamisi P., Couceiro M.S., Benediktsson J.A., and Ferreira N.M. An efficient method for segmentation of images based on fractional calculus and natural selection Expert Systems with Applications 39 2012 12407 12417 http://dx.doi.org/10.1016/j.eswa.2012.04.078 URL http://www.sciencedirect.com/science/article/pii/S0957417412006756.
    • (2012) Expert Systems with Applications , vol.39 , pp. 12407-12417
    • Ghamisi, P.1    Couceiro, M.S.2    Benediktsson, J.A.3    Ferreira, N.M.4
  • 15
    • 84949488167 scopus 로고    scopus 로고
    • Horizon 2020 URL: Accessed 25.01.16
    • Horizon 2020. URL: http://ec.europa.eu/programmes/horizon2020/ Accessed 25.01.16.
  • 16
    • 84920065888 scopus 로고    scopus 로고
    • Feature learning based approach for weed classification using high resolution aerial images from a digital camera mounted on a uav
    • URL
    • Hung C., Xu Z., and Sukkarieh S. Feature learning based approach for weed classification using high resolution aerial images from a digital camera mounted on a uav Remote Sensing 6 2014 12037 10.3390/rs61212037 URL http://www.mdpi.com/2072-4292/6/12/12037.
    • (2014) Remote Sensing , vol.6 , pp. 12037
    • Hung, C.1    Xu, Z.2    Sukkarieh, S.3
  • 17
    • 77950369345 scopus 로고    scopus 로고
    • Data clustering: 50 years beyond k-means
    • Jain A.K. Data clustering: 50 years beyond k-means Pattern Recognition Letters 31 2010 651 666
    • (2010) Pattern Recognition Letters , vol.31 , pp. 651-666
    • Jain, A.K.1
  • 18
    • 79957819255 scopus 로고    scopus 로고
    • Unsupervised image segmentation evaluation and refinement using a multi-scale approach
    • Johnson B., and Xie Z. Unsupervised image segmentation evaluation and refinement using a multi-scale approach ISPRS Journal of Photogrammetry and Remote Sensing 66 2011 473 483
    • (2011) ISPRS Journal of Photogrammetry and Remote Sensing , vol.66 , pp. 473-483
    • Johnson, B.1    Xie, Z.2
  • 24
    • 84885398102 scopus 로고    scopus 로고
    • Weed mapping in early-season maize fields using object-based analysis of unmanned aerial vehicle (UAV) images
    • Peña J.M., Torres-Sánchez J., de Castro A.I., Kelly M., and López-Granados F. Weed mapping in early-season maize fields using object-based analysis of unmanned aerial vehicle (UAV) images PLOS One 8 2013 e77151
    • (2013) PLOS One , vol.8 , pp. e77151
    • Peña, J.M.1    Torres-Sánchez, J.2    De Castro, A.I.3    Kelly, M.4    López-Granados, F.5
  • 25
    • 84937420368 scopus 로고    scopus 로고
    • An experimental comparison for the identification of weeds in sunflower crops via unmanned aerial vehicles and object-based analysis
    • I. Rojas, G. Joya, A. Catala, Springer International Publishing
    • Pérez-Ortiz M., Gutiérrez P.A., Peña J.M., Torres-Sánchez J., Hervás-Martínez C., and López-Granados F. An experimental comparison for the identification of weeds in sunflower crops via unmanned aerial vehicles and object-based analysis I. Rojas, G. Joya, A. Catala, Advances in computational intelligence Vol. 9094 2015 Springer International Publishing 252 262
    • (2015) Advances in Computational Intelligence , vol.9094 , pp. 252-262
    • Pérez-Ortiz, M.1    Gutiérrez, P.A.2    Peña, J.M.3    Torres-Sánchez, J.4    Hervás-Martínez, C.5    López-Granados, F.6
  • 26
    • 84941766152 scopus 로고    scopus 로고
    • A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method
    • Pérez-Ortiz M., Peña J., Gutiérrez P., Torres-Sánchez J., Hervás-Martínez C., and López-Granados F. A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method Applied Soft Computing 37 2015 533 544 http://dx.doi.org/10.1016/j.asoc.2015.08.027
    • (2015) Applied Soft Computing , vol.37 , pp. 533-544
    • Pérez-Ortiz, M.1    Peña, J.2    Gutiérrez, P.3    Torres-Sánchez, J.4    Hervás-Martínez, C.5    López-Granados, F.6
  • 28
    • 84949492127 scopus 로고    scopus 로고
    • Regulation (EC) 1107/2009 and Directive 2009128/EC(2009). Accessed 30.04.15
    • Regulation (EC) 1107/2009 and Directive 2009128/EC(2009). http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:32009R1107 Accessed 30.04.15.
  • 30
    • 79953726707 scopus 로고    scopus 로고
    • Intelligent flight task algorithm for unmanned aerial vehicle
    • URL http://w ww.sciencedirec t.com/scienc e/article/pii/S095 7417411002193
    • Sun T.-Y., Huo C.-L., Tsai S.-J., Yu Y.-H., and Liu C.-C. Intelligent flight task algorithm for unmanned aerial vehicle Expert Systems with Applications 38 2011 10036 10048 http://dx.doi.org/10.1016/j.eswa.2011.02.013 URL http://www.sciencedirect.com/science/article/pii/S0957417411002193.
    • (2011) Expert Systems with Applications , vol.38 , pp. 10036-10048
    • Sun, T.-Y.1    Huo, C.-L.2    Tsai, S.-J.3    Yu, Y.-H.4    Liu, C.-C.5
  • 31
    • 77957894745 scopus 로고    scopus 로고
    • A computer vision approach for weeds identification through support vector machines
    • Tellaeche A., Pajares G., Burgos-Artizzu X.P., and Ribeiro A. A computer vision approach for weeds identification through support vector machines Applied Soft Computing 11 2011 908 915
    • (2011) Applied Soft Computing , vol.11 , pp. 908-915
    • Tellaeche, A.1    Pajares, G.2    Burgos-Artizzu, X.P.3    Ribeiro, A.4
  • 32
    • 84874595926 scopus 로고    scopus 로고
    • Configuration and specifications of an unmanned aerial vehicle (UAV) for early site specific weed management
    • Torres-Sánchez J., López-Granados F., De Castro A.I., and Peña-Barragán J.M. Configuration and specifications of an unmanned aerial vehicle (UAV) for early site specific weed management PLOS one 8 2013 e58210
    • (2013) PLOS One , vol.8 , pp. e58210
    • Torres-Sánchez, J.1    López-Granados, F.2    De Castro, A.I.3    Peña-Barragán, J.M.4
  • 33
    • 0029110322 scopus 로고
    • Color indices for weed identification under various soil, residue, and lighting conditions
    • URL. Accessed 12.12.14
    • Woebbecke D., Meyer G., Von Bargen K., and D. A. M. Color indices for weed identification under various soil, residue, and lighting conditions Transactions of the ASAE 38 1995 259 269 URL http://cat.inist.fr/?aModele=afficheN&cpsidt=3503524. Accessed 12.12.14.
    • (1995) Transactions of the ASAE , vol.38 , pp. 259-269
    • Woebbecke, D.1    Meyer, G.2    Von Bargen, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.