Integrating Low-Cost UAV and GCP-based Structure-from-Motion Techniques to Generate Very High-Resolution Orthoimage for Bamboo Forest Mapping and Individuals Segmentation-Reference-Cited by-同舟云学术

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Integrating Low-Cost UAV and GCP-based Structure-from-Motion Techniques to Generate Very High-Resolution Orthoimage for Bamboo Forest Mapping and Individuals Segmentation

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Lin Chinsu¹,Liao Wenzhi²,Tatsuhara Satoshi³,Suzuki Satoshi⁴,Ma Sian-En¹,Doyog Nova D.¹

Affiliation:

1. National Chiayi University,Department of Forestry and Natural Resources

2. Flanders Make and Ghent University,Belgium

3. The University of Tokyo,Department of Forest Science, Graduate School of Agricultural and Life Sciences

4. The University of Tokyo Hokkaido Forest, Graduate School of Agricultural and Life Sciences, The University of Tokyo

Funder

Ministry of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282446.pdf?arnumber=10282446

Reference14 articles.

1. Efficient Graph-Based Image Segmentation

2. Detecting newly grown tree leaves from unmanned-aerial-vehicle images using hyperspectral target detection techniques

3. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

4. A GIS-based protocol for the simulation and evaluation of realistic 3-D thinning scenarios in recreational forest management

5. A decompositional stand structure analysis for exploring stand dynamics of multiple attributes of a mixed-species forest

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