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Original Articles

An automatic extraction method for individual tree crowns based on self-adaptive mutual information and tile computing

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Pages 495-516 | Received 28 Sep 2013, Accepted 02 Apr 2014, Published online: 24 Apr 2014

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Zhenhong Du, Yuhua Gu, Chuanrong Zhang, Feng Zhang, Renyi Liu, Jean Sequeira & Weidong Li. (2017) ParSymG: a parallel clustering approach for unsupervised classification of remotely sensed imagery. International Journal of Digital Earth 10:5, pages 471-489.
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Dameng Yin & Le Wang. (2016) How to assess the accuracy of the individual tree-based forest inventory derived from remotely sensed data: a review. International Journal of Remote Sensing 37:19, pages 4521-4553.
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Dagoberto Pulido, Joaquín Salas, Matthias Rös, Klaus Puettmann & Sertac Karaman. (2020) Assessment of Tree Detection Methods in Multispectral Aerial Images. Remote Sensing 12:15, pages 2379.
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Zhaojin Yan, Rufei Liu, Liang Cheng, Xiao Zhou, Xiaoguang Ruan & Yijia Xiao. (2019) A Concave Hull Methodology for Calculating the Crown Volume of Individual Trees Based on Vehicle-Borne LiDAR Data. Remote Sensing 11:6, pages 623.
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Changlin Xiao, Rongjun Qin, Xu Huang & Jiaqiang Li. (2018) Individual Tree Detection from Multi-View Satellite Images. Individual Tree Detection from Multi-View Satellite Images.
Hongjun Su, Shufang Tian, Yue Cai, Yehua Sheng, Chen Chen & Maryam Najafian. (2016) Optimized extreme learning machine for urban land cover classification using hyperspectral imagery. Frontiers of Earth Science 11:4, pages 765-773.
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Ying Bao, Qingjiu Tian & Min Chen. (2015) A Weighted Algorithm Based on Normalized Mutual Information for Estimating the Chlorophyll-a Concentration in Inland Waters Using Geostationary Ocean Color Imager (GOCI) Data. Remote Sensing 7:9, pages 11731-11752.
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