Improved Salient Feature-Based Approach for Automatically Separating Photosynthetic and Nonphotosynthetic Components Within Terrestrial Lidar Point Cloud Data of Forest Canopies

Journal article

Peer reviewed

Lixia Ma, Guang Zheng, Jan U.H. Eitel, L Monika Moskal, He Wei and Huabing Huang

IEEE Transactions On Geoscience and Remote Sensing, Vol.54(2), pp.679-696

2015

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http://dx.doi.org/10.1109/TGRS.2015.2459716View

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Title: Improved Salient Feature-Based Approach for Automatically Separating Photosynthetic and Nonphotosynthetic Components Within Terrestrial Lidar Point Cloud Data of Forest Canopies
Creators: Lixia Ma
Guang Zheng - Nanjing University
Jan U.H. Eitel - University of Idaho
L Monika Moskal - University of Washington
He Wei
Huabing Huang - State Key Laboratory of Remote Sensing Science
Publication Details: IEEE Transactions On Geoscience and Remote Sensing, Vol.54(2), pp.679-696
Identifiers: 996632124801851
Academic Unit: Natural Resources and Society
Language: English
Resource Type: Journal article