그림1. 드론에 의한 촬영 및 지도화 처리 흐름도 Fig. 1. Flow chart of Drone Survey
그림2. 최종 특징점 결정 과정 (출처; Lowe, 2004) Fig.2. Extraction Process of Last Signature Point
그림3. 특징점의 방위 검출 (출처; www.cs.cornell.edu) FIg.3. Bearing Extraction of Signature Point
그림4.드론의 비행궤적 및 프레임 FIG.4. Flying Orbit and Frame of Drone
그림5. 외곽지역의 드론영상보정 Fig.5.. Drone Image Correction for Ourside area
그림6. 교통교차로 지점의 드론영상 Fig.6. Drone Image Correction for Interchange area
그림8. 개발지역의 모자이크 후의 영상지도 Fig.7. Drone Mosaic Image of Development Area
그림9. 본 연구에 사용한 모듈형 USN 무선 센서 Fig.7. Modular USN Sensor for this Reserch
Fig. 10. 건설현장 환경데이터 측정용 USN 시스템 Fig.10. USN system for Environment Data Correction on the Construction Site
그림 12. 고수동굴 출구부의 USN 환경데이터 Fig 12. USN EN Data of GOSU-Cave Exit area
그림 13. 고수동굴 중간부의 환경데이터 Fig 13. USN EN Data of GOSU-Cave Center area
그림 14. USN에 의한 천동동굴의 먼지농도 측정 Fig 14. USN Dust Density Data of CheonDong-Cave
그림7. 대학캠퍼스 모자이크 드론영상(해상도 1m이내) Fig.7. Drone Mosaic Image of University Campus
Fig.11. USN에 의한 공사현장의 환경정보 Fig.11. Environment Information on the Construction Site by USN system
표 1. 항공사진측량과 무인항공사진측량의 장비 비교 Table 1.Comparison Aerial Survey to UAV
표2. USN에 의한 건설현장 환경데이터 관리표 Table2. Environment Management Tabel at Costruction Site by USN
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