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Proceedings Paper

A fast and automatic mosaic method for high-resolution satellite images
Author(s): Hongshun Chen; Hui He; Hongyu Xiao; Jing Huang
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Paper Abstract

We proposed a fast and fully automatic mosaic method for high-resolution satellite images. First, the overlapped rectangle is computed according to geographical locations of the reference and mosaic images and feature points on both the reference and mosaic images are extracted by a scale-invariant feature transform (SIFT) algorithm only from the overlapped region. Then, the RANSAC method is used to match feature points of both images. Finally, the two images are fused into a seamlessly panoramic image by the simple linear weighted fusion method or other method. The proposed method is implemented in C++ language based on OpenCV and GDAL, and tested by Worldview-2 multispectral images with a spatial resolution of 2 meters. Results show that the proposed method can detect feature points efficiently and mosaic images automatically.

Paper Details

Date Published: 9 December 2015
PDF: 6 pages
Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98080A (9 December 2015); doi: 10.1117/12.2207427
Show Author Affiliations
Hongshun Chen, Beijing Normal Univ. (China)
Hui He, Beijing Normal Univ. (China)
Hongyu Xiao, Beijing Normal Univ. (China)
Jing Huang, Beijing Normal Univ. (China)


Published in SPIE Proceedings Vol. 9808:
International Conference on Intelligent Earth Observing and Applications 2015
Guoqing Zhou; Chuanli Kang, Editor(s)

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