• Laser & Optoelectronics Progress
  • Vol. 55, Issue 12, 122802 (2018)
Wenxiu Teng1、2, Xiaorong Wen1、2、*, Ni Wang3、4, and Huihui Shi3
Author Affiliations
  • 1 College of Forest, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
  • 2 Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
  • 3 School of Geographic Information and Tourism, Chuzhou University, Chuzhou, Anhui 239000, China
  • 4 Anhui Engineering Laboratory of Geographical Information Intelligent Sensor and Service, Chuzhou, Anhui 239000, China
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    DOI: 10.3788/LOP55.122802 Cite this Article Set citation alerts
    Wenxiu Teng, Xiaorong Wen, Ni Wang, Huihui Shi. Individual Tree Crown Extraction in High Resolution Remote Sensing Image Based on Iterative H-minima Improved Watershed Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(12): 122802 Copy Citation Text show less
    References

    [1] Qin X L, Li Z Y, Yi H R. Extraction method of tree crown using high-resolution satellite image[J]. Remote Sensing Technology and Application, 20, 228-232(2005).

    [2] Zhou T, Popescu S C, Lawing A M. et al. Bayesian and classical machine learning methods: a comparison for tree species classification with LiDAR waveform signatures[J]. Remote Sensing, 10, 39(2018). http://adsabs.harvard.edu/abs/2018RemS...10...39Z

    [3] Shen X, Cao L. Tree-species classification in subtropical forests using airborne hyperspectral and LiDAR data[J]. Remote Sensing, 9, 1180(2017). http://adsabs.harvard.edu/abs/2017RemS....9.1180S

    [4] Zhang Z Y, Kazakova A, Moskal L. et al. Object-based tree species classification in urban ecosystems using LiDAR and hyperspectral data[J]. Forests, 7, 122(2016).

    [5] Dian Y Y, Pang Y, Dong Y F. et al. Urban tree species mapping using airborne LiDAR and hyperspectral data[J]. Journal of the Indian Society of Remote Sensing, 44, 595-603(2016). http://link.springer.com/article/10.1007/s12524-015-0543-4

    [6] Deng S Q, Katoh M, Yu X W. et al. Comparison of tree species classifications at the individual tree level by combining ALS data and RGB images using different algorithms[J]. Remote Sensing, 8, 1034(2016).

    [7] Chen Y, Fan R S, Wang J X et al. Segmentation of high-resolution remote sensing image combining phase consistency with watershed transformation[J]. Laser & Optoelectronics Progress, 54, 092803(2017).

    [8] Yan Q, Li H, Jing L H et al. Automatic extraction algorithm of seismic landslide information based on after-calamity high-resolution remote sensing image[J]. Laser & Optoelectronics Progress, 54, 112801(2017).

    [9] Gao X J, Zheng X D, Liu Z X et al. Automatic building extraction from high resolution visible images based on shifted shadow analysis[J]. Acta Optica Sinica, 37, 0428002(2017).

    [10] Wang L G, Liu G Y, Mei T C et al. A segmentation algorithm for high-resolution remote sensing texture based on spectral and texture information weighting[J]. Acta Optica Sinica, 29, 3010-3017(2009).

    [11] Chen C C, Li X, Huang H Y. 3D segmentation of individual tree canopy in forest nursery based on drone image-matching point cloud[J]. Transactions of the Chinese Society for Agricultural Machinery, 49, 149-155, 206(2018).

    [12] Guo Y S, Liu Q S, Liu G H et al. Individual tree crown extraction of high resolution image based on marker-controlled watershed segmentation method[J]. Journal of Geo-information Science, 18, 1259-1266(2016).

    [13] Yang J, He Y H, Caspersen J P. et al. Delineating individual tree crowns in an uneven-aged, mixed broadleaf forest using multispectral watershed segmentation and multiscale fitting[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 1390-1401(2017). http://ieeexplore.ieee.org/document/7802583/

    [14] Ayrey E, Fraver S, Kershaw J A. et al. Layer stacking: a novel algorithm for individual forest tree segmentation from LiDAR point clouds[J]. Canadian Journal of Remote Sensing, 43, 16-27(2017). http://www.tandfonline.com/doi/abs/10.1080/07038992.2017.1252907

    [15] Soille P. Morphological image analysis: principles and applications[M]. 2 nd ed. Heidelberg: Springer-Verlag (2004).

    [16] Soille P. Morphological image analysis applied to crop field mapping[J]. Imageand Vision Computing, 18, 1025-1032(2000). http://www.sciencedirect.com/science/article/pii/S0262885600000433

    [17] Qi X, Xing F Y, Foran D J. et al. Robust segmentation of overlapping cells in histopathology specimens using parallel seed detection and repulsive level set[J]. IEEE Transactions on Biomedical Engineering, 59, 754-765(2012). http://new.med.wanfangdata.com.cn/Paper/Detail?id=PeriodicalPaper_PM22167559

    [18] Xu H M, Lu C, Mandal M. An efficient technique for nuclei segmentation based on ellipse descriptor analysis and improved seed detection algorithm[J]. IEEE Journal of Biomedical and Health Informatics, 18, 1729-1741(2014). http://www.ncbi.nlm.nih.gov/pubmed/25192578

    [19] Jung C, Kim C. Segmenting clustered nuclei using H-minima transform-based marker extraction and contour parameterization[J]. IEEE Transactions on Biomedical Engineering, 57, 2600-2604(2010). http://ieeexplore.ieee.org/document/5518402

    [20] Otsu N. A threshold selection method from gray-levelhistograms[J]. IEEE Transactions on Systems, Man, and Cybernetics, 9, 62-66(1979). http://jamia.oxfordjournals.org/lookup/external-ref?access_num=10.1109/TSMC.1979.4310076&link_type=DOI

    [21] Vincent L, Soille P. Watersheds in digital spaces: an efficient algorithm based on immersion simulations[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13, 583-598(1991). http://dl.acm.org/citation.cfm?id=116707

    Wenxiu Teng, Xiaorong Wen, Ni Wang, Huihui Shi. Individual Tree Crown Extraction in High Resolution Remote Sensing Image Based on Iterative H-minima Improved Watershed Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(12): 122802
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