Implementing a growth pattern of climax community as post-processing filters core to improve tree species classification accuracy
Improving tree species classification accuracy often involves complex workflows, constrained by high computational costs, extensive data requirements, and sensitivity to spatiotemporal variations. This study introduces the Change Resistance Filter (CR-Filter), inspired by the stable growth patterns...
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| Main Authors: | Biao Zhang, Liguo Dong, Zhichao Wang, Zebang Feng, Yakui Shao, Tiantian Ma, Xuanchi Chen, Hao Li, Bin Wang, Zhongke Feng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2498601 |
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