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.
논문 기본 정보
- 자료유형
- 학위논문
- 저자정보
- 지도교수
- 조기성
- 발행연도
- 2016
- 저작권
- 전북대학교 논문은 저작권에 의해 보호받습니다.
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초록· 키워드
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In order to obtain the coordinates of the ground control points for geometric correction of satellite images, GPS surveying is essential. However, that needs research of another way for reducing procedures and time.
In this study, high-resolution satellite image was geometric correction using coordinates of ground control point obtained by Daum Map API and GPS. Coordinate transformation formula used for the geometric correction of satellite image is affine transformation, polynomial transformation of order 2 and polynomial transformation of order 3. Images are geometrically corrected by using a different formulas, evaluated accuracy for check points. Also, this method was applied to the medium-resolution satellite images, determine the utility. Finally, I could got the following conclusion as the result of evaluating the accuracy.
First, as a result of the coordinate transformation KOMPSAT-3 satellite images using affine transformation, polynomial transformation of order 2 and polynomial transformation of order 3, The image using polynomial transformation of order 3 showed the highest location accuracy.
Second, if the geometric correction using the coordinates obtained through the Daum Map API, It showed the error of around 2.5m. In the field to allow an error of around 2.5m, It is judged that the use of this method.
Third, as a result of geometric correction the Landsat-8 satellite image, It showed a difference of 0.5 pixels inside and outside. In case of medium-resolution satellite image, It is judged that it is also possible to use the ground control point coordinates obtained through Daum Map API.
In this study, high-resolution satellite image was geometric correction using coordinates of ground control point obtained by Daum Map API and GPS. Coordinate transformation formula used for the geometric correction of satellite image is affine transformation, polynomial transformation of order 2 and polynomial transformation of order 3. Images are geometrically corrected by using a different formulas, evaluated accuracy for check points. Also, this method was applied to the medium-resolution satellite images, determine the utility. Finally, I could got the following conclusion as the result of evaluating the accuracy.
First, as a result of the coordinate transformation KOMPSAT-3 satellite images using affine transformation, polynomial transformation of order 2 and polynomial transformation of order 3, The image using polynomial transformation of order 3 showed the highest location accuracy.
Second, if the geometric correction using the coordinates obtained through the Daum Map API, It showed the error of around 2.5m. In the field to allow an error of around 2.5m, It is judged that the use of this method.
Third, as a result of geometric correction the Landsat-8 satellite image, It showed a difference of 0.5 pixels inside and outside. In case of medium-resolution satellite image, It is judged that it is also possible to use the ground control point coordinates obtained through Daum Map API.
목차
제 1 장 서 론 11.1 연구 배경 및 목적 11.2 연구 동향 31.3 연구 범위 및 방법 4제 2 장 위성 영상과 기하보정 72.1 KOMPSAT-3 72.2 Landsat-8 92.3 영상의 기하보정 122.3.1 Affine 변환 142.3.2 Polynomial 변환 182.3.3 영상 재배열 19제 3 장 적용 및 고찰 243.1 연구 대상지역 243.2 지상기준점 및 검사점 취득 253.2.1 현장 GPS 측정 263.2.2 Daum Map API 283.3 KOMPSAT-3 영상 기하보정 333.3.1 현장 취득 GCP를 이용한 기하보정 353.3.2 Daum Map API에서 취득한 GCP를 이용한 기하보정 393.4 정확도 평가 433.5 Landsat-8 영상 적용 및 정확도 평가 48제 4 장 결 론 55참고문헌 57
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