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Detection of Individual Tree Species Using Object-Based Classification Method with Unmanned Aerial Vehicle (UAV) Imagery
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- 발행기관
- 강원대학교 산림과학연구소 바로가기
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- 간행물
- Journal of Forest and Environmental Science KCI 등재 바로가기
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- 통권
- 제35권 제3호 (2019.09)바로가기
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- 페이지
- pp.181-188
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A363207
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4,000원
원문정보
초록
- 영어
- This study was performed to construct tree species classification map according to three information types (spectral information, texture information, and spectral and texture information) by altitude (30 m, 60 m, 90 m) using the unmanned aerial vehicle images and the object-based classification method, and to evaluate the concordance rate through field survey data. The object-based, optimal weighted values by altitude were 176 for 30 m images, 111 for 60 m images, and 108 for 90 m images in the case of Scale while 0.4/0.6, 0.5/0.5, in the case of the shape/color and compactness/smoothness respectively regardless of the altitude. The overall accuracy according to the type of information by altitude, the information on spectral and texture information was about 88% in the case of 30 m and the spectral information was about 98% and about 86% in the case of 60 m and 90 m respectively showing the highest rates. The concordance rate with the field survey data per tree species was the highest with about 92% in the case of Pinus densiflora at 30 m, about 100% in the case of Prunus sargentii Rehder tree at 60 m, and about 89% in the case of Robinia pseudoacacia L. at 90 m.
목차
Abstract
Introduction
Materials and Methods
Study area
Method
Results and Discussion
RS_TSCM construction by SBC
Comparison between F_TSDM and RS_TSCM
Conclusion
Acknowledgements
References
키워드
tree species remote sensing object-based classification method unmanned aerial vehicle (UAV) structure from motion (SfM)저자
간행물 정보
발행기관
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- 발행기관명
- 강원대학교 산림과학연구소 [Institute of Forest Science Kangwon National University]
- 설립연도
- 1975
- 분야
- 농수해양>임학
- 소개
- 강원대학교부설산림과학연구소(이하 “연구소”라 한다)는 산림에 관한 제반 학술적 연구를 통하여 산림자원의 효용을 밝히고 임업 및 임산업의 발전에 기여함을 목적으로 한다.
간행물
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- 간행물명
- Journal of Forest and Environmental Science [산림과학연구]
- 간기
- 계간
- pISSN
- 2288-9744
- eISSN
- 2288-9752
- 수록기간
- 1981~2026
- 등재여부
- KCI 등재
- 십진분류
- KDC 526 DDC 634
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