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논문 기본 정보

자료유형
학술저널
저자정보
La, Phu Hien (Hanoi University of Mining and Geology) Jeon, Min Cheol (Konkuk University) Eo, Yang Dam (Konkuk University) Nguyen, Quang Minh (Hanoi University of Mining and Geology) Lee, Mi Hee (Konkuk University) Pyeon, Mu Wook (Konkuk University)
저널정보
한국측량학회 한국측량학회지 한국측량학회지 제34권 제2호
발행연도
2016.4
수록면
121 - 132 (12page)

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초록· 키워드

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This study proposes an approach for simulating high spatial resolution satellite images acquired under arbitrary sun-sensor geometry using existing images and 3D (three-dimensional) data. First, satellite images, having significant differences in spectral regions compared with those in the simulated image were transformed to the same spectral regions as those in simulated image by using the UPDM (Universal Pattern Decomposition Method). Simultaneously, shadows cast by buildings or high features under the new sun position were modeled. Then, pixels that changed from shadow into non-shadow areas and vice versa were simulated on the basis of existing images. Finally, buildings that were viewed under the new sensor position were modeled on the basis of open library-based 3D reconstruction program. An experiment was conducted to simulate WV-3 (WorldView-3) images acquired under two different sun-sensor geometries based on a Pleiades 1A image, an additional WV-3 image, a Landsat image, and 3D building models. The results show that the shapes of the buildings were modeled effectively, although some problems were noted in the simulation of pixels changing from shadows cast by buildings into non-shadow. Additionally, the mean reflectance of the simulated image was quite similar to that of actual images in vegetation and water areas. However, significant gaps between the mean reflectance of simulated and actual images in soil and road areas were noted, which could be attributed to differences in the moisture content.

목차

Abstract
1. Introduction
2. Study Sites and Materials
3. Methodology
4. Experimental Results
5. Quality Assessment and Discussion
6. Conclusion
References

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UCI(KEPA) : I410-ECN-0101-2016-533-002817571