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
- 학술저널
- 저자정보
- 발행연도
- 2016.4
- 수록면
- 725 - 735 (11page)
이용수
초록· 키워드
오류제보하기
High-resolution satellite images are used in the fields of mapping, natural disaster forecasting, agriculture, ocean-based industries, infrastructure, and environment, and there is a progressive increase in the development and demand for the applications of high-resolution satellite images. Users of the satellite images desire accurate quality of the provided satellite images. Moreover, the distinguishability of each image captured by an actual satellite varies according to the atmospheric environment and solar angle at the captured region, the satellite velocity and capture angle, and the system noise. Hence , NIIRS must be measured for all captured images. There is a significant deficiency in professional human resources and time resources available to measure the NIIRS of few hundred images that are transmitted daily. Currently, NIIRS is measured every few months or even few years to assess the aging of the satellite as well as to verify and calibrate it [3]. Therefore, we develop an algorithm that can measure the national image interpretability rating scales (NIIRS) of a typical satellite image rather than an artificial target satellite image, in order to automatically assess its quality. In this study, the criteria for automatic edge region extraction are derived based on the previous works on manual edge region extraction [4][5], and consequently, we propose an algorithm that can extract the edge region. Moreover, RER and H are calculated from the extracted edge region for automatic edge region extraction. The average NIIRS value was measured to be 3.6342±0.15321 (2 standard deviations) from the automatic measurement experiment on a typical satellite image, which is similar to the result extracted from the artificial target.
목차
ABSTRACT
1. 서론
2. 기존 연구
3. 자동 에지 추출 연구
4. 실험 결과 및 고찰
5. 결론
REFERENCE
참고문헌 (14)
참고문헌 신청
IRARS Committee, http://www.fas.org/irp/ imint/niirs_c/index.html (accessed Dec., 10, 2015).
J. Leachtenauer, W. Malila, J. Irvine, L.Colburn, and N. Salvaggio, "General Image-Quality Equation: GIQE," J ournal of Applied Optics, Vol. 36, No. 32, pp. 8322-8328, 1997.
Image Quality Evaluation of Quickbird Super Resolution and Revisit of IKONOS : Civil and Commercial Application Project, JACIE, http:// calval.cr.usgs.gov/JACIE_files/ JACIE04/files/ 1Jones12.pdf (accessed Dec., 10, 2015).
H.S. Kim, Research for the Automatic Rating of Satellite Image Interpretability, Master’s Thesis of Inha University of Geographic Information Engineering Department, 2008.
T. Kim, J. Kim, D. Kim, and J. Jeong, "Automated Image Interpretability Assessment by Edge Profile Analysis of Natural Targets," Proceeding of Annual Conference, American Society for Photogrammetry and Remote Sensing, pp. 417-422, 2010.
Image Quality Evaluation of Quickbird Super Resolution and Revisit of IKONOS : Civil and Commercial Application Project, JACIE, http:// calval.cr.usgs.gov/JACIE_files/ JACIE04/files/ 1Jones12.pdf (accessed Dec., 10, 2015).
H.S. Kim, Research for the Automatic Rating of Satellite Image Interpretability, Master’s Thesis of Inha University of Geographic Information Engineering Department, 2008.
T. Kim, J. Kim, D. Kim, and J. Jeong, "Automated Image Interpretability Assessment by Edge Profile Analysis of Natural Targets," Proceeding of Annual Conference, American Society for Photogrammetry and Remote Sensing, pp. 417-422, 2010.
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UCI(KEPA) : I410-ECN-0101-2016-004-002880203