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.
초록· 키워드
오류제보하기
With precise sensor position, attitude element, and imaging resolution, a simulated geospatial image can be generated. In this study, a satellite image is simulated using SPOT ortho-image and global elevation data, and the geometric similarity between original and simulated images is analyzed. Using a SPOT panchromatic image and high-density elevation data from a 1/5K digital topographic map data an ortho-image with 10-meter resolution was produced. The simulated image was then generated by exterior orientation parameters and global elevation data (SRTM1, GDEM2). Experimental results showed that (1) the agreement of the image simulation between pixel location from the SRTM1/GDEM2 and high-resolution elevation data is above 99% within one pixel; (2) SRTM1 is closer than GDEM2 to high-resolution elevation data; (3) the location of error occurrence is caused by the elevation difference of topographical objects between high-density elevation data generated from the Digital Terrain Model (DTM) and Digital Surface Model (DSM)-based global elevation data. Error occurrences were typically found at river boundaries, in urban areas, and in forests. In conclusion, this study showed that global elevation data are of practical use in generating simulated images with 10-meter resolution.
목차
Abstract
1. Introduction
2. Generation of Simulated Optical Images Under Collinearity Conditions
3. Test Materials and Generation of Simulated Images
4. Result Analysis
5. Conclusion
References
참고문헌 (9)
참고문헌 신청
1. [학술지(정기간행물)] - Ji, L. / 2006 / An agreement coefficient for image comparison / Photogrammetric Engineering &Remote Sensing 72 (7) : 823 ~ 833
2. [학술지(정기간행물)] - Kim, S. / 2013 / Remote sensed image simulation methodology / Journal of Next Generation Information Technology(JNIT) 4 (8) : 111 ~ 117
3. [보고서] - Park, G. / 2000 / Analysis of the Sensor Characteristics and Imaging Time for Mapping
4. [학술지(정기간행물)] - Schott, J. / 1995 / Incorporation of texture in multispectral synthetic image generation tools / SPIE 2469 : 189 ~ 196
5. [학술대회논문] - Seidel, K / 1993 / Fusion of real and synthetic images for remote sensing scene understanding / FRACTAL ‘93 : 1 ~ 12
2. [학술지(정기간행물)] - Kim, S. / 2013 / Remote sensed image simulation methodology / Journal of Next Generation Information Technology(JNIT) 4 (8) : 111 ~ 117
3. [보고서] - Park, G. / 2000 / Analysis of the Sensor Characteristics and Imaging Time for Mapping
4. [학술지(정기간행물)] - Schott, J. / 1995 / Incorporation of texture in multispectral synthetic image generation tools / SPIE 2469 : 189 ~ 196
5. [학술대회논문] - Seidel, K / 1993 / Fusion of real and synthetic images for remote sensing scene understanding / FRACTAL ‘93 : 1 ~ 12
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UCI(KEPA) : I410-ECN-0101-2015-530-002847023