• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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A Scheme for Matching Satellite Images Using SIFT


Suk-Chen Kang, In-Teck Whoang, Kwang-Nam Choi, Journal of Internet Computing and Services, Vol. 10, No. 4, pp. 13-24, Aug. 2009
Full Text:
Keywords: Satellite Images, SIFT

Abstract

In this paper we propose an approach for localizing objects in satellite images. Our method exploits matching features based on description vectors. We applied Scale Invariant Feature Transform (SIFT) to object localization. First, we find keypoints of the satellite images and the objects and generate description vectors of the keypoints. Next, we calculate the similarity between description vectors, and obtain matched keypoints. Finally, we weight the adjacent pixels to the keypoints and determine the location of the matched object. The experiments of object localization by using SIFT show good results on various scale and affine transformed images. In this paper the proposed methods use Google Earth satellite images.


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Cite this article
[APA Style]
Kang, S., Whoang, I., & Choi, K. (2009). A Scheme for Matching Satellite Images Using SIFT. Journal of Internet Computing and Services, 10(4), 13-24.

[IEEE Style]
S. Kang, I. Whoang, K. Choi, "A Scheme for Matching Satellite Images Using SIFT," Journal of Internet Computing and Services, vol. 10, no. 4, pp. 13-24, 2009.

[ACM Style]
Suk-Chen Kang, In-Teck Whoang, and Kwang-Nam Choi. 2009. A Scheme for Matching Satellite Images Using SIFT. Journal of Internet Computing and Services, 10, 4, (2009), 13-24.