A fast and automatic mosaic method for high-resolution satellite images

Hongshun Chen; Hui He; Hongyu Xiao; Jing Huang

doi:10.1117/12.2207427

9 December 2015 A fast and automatic mosaic method for high-resolution satellite images

Hongshun Chen, Hui He, Hongyu Xiao, Jing Huang

Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 98080A (2015) https://doi.org/10.1117/12.2207427
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China

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.

Citation Download Citation

Hongshun Chen, Hui He, Hongyu Xiao, and Jing Huang "A fast and automatic mosaic method for high-resolution satellite images", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98080A (9 December 2015); https://doi.org/10.1117/12.2207427

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