Individual-tree identification of Korean pine based on UAV imagery and Mask R-CNN.

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Bibliographic Details
Title: Individual-tree identification of Korean pine based on UAV imagery and Mask R-CNN.
Transliterated Title: 基于无人机影像和Mask R-CNN算法的红松单木识别.
Authors: Chen H; College of Forestry, Northeast Forestry University, Harbin 150040, China., Quan Y; College of Forestry, Northeast Forestry University, Harbin 150040, China., Ma XT; College of Forestry, Northeast Forestry University, Harbin 150040, China., Bian SJ; College of Forestry, Northeast Forestry University, Harbin 150040, China., Wang B; College of Forestry, Northeast Forestry University, Harbin 150040, China.; Ministry of Education Key Laboratory of Sustainable Forest Ecosystem Management, Harbin 150040, China., Li MZ; College of Forestry, Northeast Forestry University, Harbin 150040, China.; Ministry of Education Key Laboratory of Sustainable Forest Ecosystem Management, Harbin 150040, China.
Source: Ying yong sheng tai xue bao = The journal of applied ecology [Ying Yong Sheng Tai Xue Bao] 2026 May; Vol. 37 (5), pp. 1539-1548.
Publication Type: Journal Article
Journal Info: Publisher: Ying yong sheng tai xue bao bian ji wei yuan hui Country of Publication: China NLM ID: 9425159 Publication Model: Print Cited Medium: Print ISSN: 1001-9332 (Print) Linking ISSN: 10019332 NLM ISO Abbreviation: Ying Yong Sheng Tai Xue Bao Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1001-9332
DOI:10.13287/j.1001-9332.202605.007