지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
이용수
초록· 키워드
오류제보하기
The Unmanned Aerial Vehicles (UAVs) have several advantages over conventional RS techniques. They can acquire high-resolution images quickly andrepeatedly. And with a comparatively lower flight altitude i.e. 80~400 m, they can obtain good quality images even in cloudy weather. Therefore, theyare ideal for acquiring spatial data in cases of small agricultural field with mixed crop, abundant in South Korea. This paper discuss the use of low costUAV based remote sensing for classifying crops. The study area, Gochang is produced by several crops such as red pepper, radish, Chinese cabbage,rubus coreanus, welsh onion, bean in South Korea. This study acquired images using fixed wing UAV on September 23, 2014. An object-based techniqueis used for classification of crops. The results showed that scale 250, shape 0.1, color 0.9, compactness 0.5 and smoothness 0.5 were the optimumparameter values in image segmentation. As a result, the kappa coefficient was 0.82 and the overall accuracy of classification was 85.0 %. The result ofthe present study validate our attempts for crop classification using high resolution UAV image as well as established the possibility of using such remotesensing techniques widely to resolve the difficulty of remote sensing data acquisition in agricultural sector.
목차
등록된 정보가 없습니다.
참고문헌 (25)
참고문헌 신청
Blaschke T. / 2010 / Object based image analysis for remote sensing / ISPRS Journal of Photogrammetry and Remote Sensing 65 (1) : 2 ~ 16
Booth, D. T. / 2003 / Rangeland monitoring using remote sensing / Arid Land Research and Management 17 : 455 ~ 467
Booth, D. T. / 2008 / Ground-cover measurements: assessing correlation among aerial and ground-based methods / Environmental Management 42 (6) : 1091 ~ 1100
Boschetti, L. / 2004 / Analysis of the conflict between omission and commission in low spatial resolution dichotomic thematic products: the Pareto boundary / Remote Sensing o
De Jong, S. M. / 2001 / An integrated spatial and spectral approach to the classification of Mediterranean land cover types : the SSC method. International Journal of Applied
Booth, D. T. / 2003 / Rangeland monitoring using remote sensing / Arid Land Research and Management 17 : 455 ~ 467
Booth, D. T. / 2008 / Ground-cover measurements: assessing correlation among aerial and ground-based methods / Environmental Management 42 (6) : 1091 ~ 1100
Boschetti, L. / 2004 / Analysis of the conflict between omission and commission in low spatial resolution dichotomic thematic products: the Pareto boundary / Remote Sensing o
De Jong, S. M. / 2001 / An integrated spatial and spectral approach to the classification of Mediterranean land cover types : the SSC method. International Journal of Applied
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
농업분야 무인항공기 영상 활용 동향: 리뷰 및 제안
Korean Journal of Agricultural Science
2015 .09
-
Seasonal and Diurnal Change of NDVI from UAV Imagery in Clear Day Condition
한국토양비료학회지
2018 .11
-
Case Study: The Effect of Shade on the RGB Images Obtained from Unmanned Aerial Vehicle in Crop Evaluation
농업생명환경연구
2019 .01
-
무인항공기를 이용한 직불제 이행점검 적용성 평가
한국농공학회논문집
2016 .01
-
Estimation of Rice Yield in Paddy Damaged by Rice Blast Using UAV Imagery
한국토양비료학회지
2022 .11
-
Study on Reflectance and NDVI of Aerial Images using a Fixed-Wing UAV “Ebee”
한국토양비료학회지
2016 .12
-
A Comparative Study of Image Classification Method to Classify Onion and Garlic Using Unmanned Aerial Vehicle (UAV) Imagery
한국토양비료학회지
2016 .12
-
무인비행체 영상을 활용한 벼 수량 분포 추정
한국농공학회논문집
2019 .01
-
Characteristics of UAV Aerial Images for Monitoring of Highland Kimchi Cabbage
한국토양비료학회지
2017 .06
-
무인항공기와 GIS를 이용한 논 가뭄 발생지역 분석
한국농공학회논문집
2017 .01
-
지도학습 알고리즘 기반 3D 노지 작물 구분 모델 개발
한국농공학회논문집
2022 .01
-
Estimation for Red Pepper Growth by Vegetation Indices Based on Unmanned Aerial Vehicle
한국토양비료학회지
2018 .11
-
Genome editing interventions to combat rice blast disease
Plant Biotechnology Reports
2023 .02
-
Developing a decision support system for selecting new crops
Agribusiness and information management : AIM
2018 .01
-
백로류 집단번식지의 개체수 모니터링을 위한 무인항공기 활용연구 - 천연기념물 209호 여주 신접리 백로와 왜가리 번식지를 대상으로 -
환경복원녹화
2019 .01
-
Remote Sensing of Rehmannia glutinosa Using UAV with Multispectral Sensor
한국약용작물학회 학술대회논문집
2019 .10
-
Selection of Optimal Vegetation Indices and Regression Model for Estimation of Rice Growth Using UAV Aerial Images
한국토양비료학회지
2017 .10
-
Analysis of components and applications of major crop models for nutrient management in agricultural land
Korean Journal of Agricultural Science
2016 .12
-
황기 후작지 재배 약용작물의 수량 평가
한국약용작물학회지
2022 .04
-
Development of Field Scale Model for Estimating Garlic Growth Based on UAV NDVI and Meteorological Factors
한국토양비료학회지
2017 .10
이 논문의 저자 정보
최근 본 자료
댓글(0)
0