Laser & Optoelectronics Progress, Volume. 55, Issue 12, 122802(2018)

Individual Tree Crown Extraction in High Resolution Remote Sensing Image Based on Iterative H-minima Improved Watershed Algorithm

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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    References(21)

    [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).

    [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).

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

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    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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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Apr. 11, 2018

    Accepted: Jun. 21, 2018

    Published Online: Aug. 1, 2019

    The Author Email: Wen Xiaorong (njw9872e@163.com)

    DOI:10.3788/LOP55.122802

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