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
As automated image processing techniques have been required in multi-temporal/multi-sensor geospatial image applications, use of automated but highly invariant image matching technique has been a critical ingredient. Note that there is high possibility of geometric and spectral differences between multi-temporal/multi-sensor geospatial images due to differences in sensor, acquisition geometry, season, and weather, etc. Among many image matching techniques, the SIFT (Scale Invariant Feature Transform) is a popular method since it has been recognized to be very robust to diverse imaging conditions. Therefore, the SIFT has high potential for the geospatial image processing. This paper presents a performance test results of the SIFT on geospatial imagery by simulating various image differences such as shear, scale, rotation, intensity, noise, and spectral differences. Since a geospatial image application often requires a number of good matching points over the images, the number of matching points was analyzed with its matching positional accuracy. The test results show that the SIFT is highly invariant but could not overcome significant image differences. In addition, it guarantees no outlier-free matching such that it is highly recommended to use outlier removal techniques such as RANSAC (RANdom SAmple Consensus).
목차
Abstract
1. Introduction
2. SIFT (Scale Invariant Feature Transform)
3. SIFT performance analysis
4. Conclusion
References
참고문헌 (19)
참고문헌 신청
1. [학술대회논문] - Abdel-Hakim, A.E / 2006 / CSIFT: A SIFT Descriptor with Color Invariant Characteristics / Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition : 1978 ~ 1983
2. [학술지(정기간행물)] - Baarda,W / 1968 / A testing procedure for use in geodetic networks, Netherlands Geodetic Commission / Publications on Geodesy 2 (5)
3. [학술지(정기간행물)] - Bay, H / 2008 / SURF: Speeded Up Robust Features / Computer Vision and Image Understanding (CVIU) 110 (3) : 346 ~ 359
4. [학술지(정기간행물)] - Cariou, C / 2008 / Automatic Georeferencing of Airborne Pushbroom Scanner Images With Missing Ancillary Data Using Mutual Information / IEEE Transactions on Geoscience and Remote Sensing 46 (5) : 1290 ~ 1300
5. [학술지(정기간행물)] - Chahal, G / 2010 / Robust Statistics based Filter to Remove Salt and Pepper Noise in Digital Images / International Journal of Information Technology and Knowledge Management 2 (2) : 601 ~ 604
2. [학술지(정기간행물)] - Baarda,W / 1968 / A testing procedure for use in geodetic networks, Netherlands Geodetic Commission / Publications on Geodesy 2 (5)
3. [학술지(정기간행물)] - Bay, H / 2008 / SURF: Speeded Up Robust Features / Computer Vision and Image Understanding (CVIU) 110 (3) : 346 ~ 359
4. [학술지(정기간행물)] - Cariou, C / 2008 / Automatic Georeferencing of Airborne Pushbroom Scanner Images With Missing Ancillary Data Using Mutual Information / IEEE Transactions on Geoscience and Remote Sensing 46 (5) : 1290 ~ 1300
5. [학술지(정기간행물)] - Chahal, G / 2010 / Robust Statistics based Filter to Remove Salt and Pepper Noise in Digital Images / International Journal of Information Technology and Knowledge Management 2 (2) : 601 ~ 604
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UCI(KEPA) : I410-ECN-0101-2014-530-003349386