Large-area seamless mosaic for UAV thermal infrared sequence images based on prior coordinates and overlap area

Jiani He; Tianshu Zhou; Longhan Zhang; Temesgen Muruts; Xiangbo Jin; Yueming Wang; Jing Jiang

doi:10.1117/12.2652372

16 December 2022 Large-area seamless mosaic for UAV thermal infrared sequence images based on prior coordinates and overlap area

Jiani He, Tianshu Zhou, Longhan Zhang, Temesgen Muruts, Xiangbo Jin, Yueming Wang, Jing Jiang

Author Affiliations +

Proceedings Volume 12324, Infrared, Millimeter-Wave, and Terahertz Technologies IX; 123240Q (2022) https://doi.org/10.1117/12.2652372
Event: SPIE/COS Photonics Asia, 2022, Online Only

Abstract

Due to obtaining Unmanned aerial vehicle (UAV) thermal infrared remote sensing (TIRS) data being difficult, a few works are proposed based on TIRS images. In addition, these mosaic methods usually face dislocation and distortion problems when facing a large number of TIRS images. To overcome this limitation, this paper proposes a mosaic method for large-amount TIRS images with less distortion. By using the prior sequence and coordinates information recorded during UAV flight, we can obtain a reliable panoramic image. We build a UAV TIRS image dataset containing a total of 500 images, and we conduct experiments on this dataset. Our method achieves low RMSE value and satisfying mosaicked results, which demonstrates the effectiveness of our method.

Conference Presentation

Citation Download Citation

Jiani He, Tianshu Zhou, Longhan Zhang, Temesgen Muruts, Xiangbo Jin, Yueming Wang, and Jing Jiang "Large-area seamless mosaic for UAV thermal infrared sequence images based on prior coordinates and overlap area", Proc. SPIE 12324, Infrared, Millimeter-Wave, and Terahertz Technologies IX, 123240Q (16 December 2022); https://doi.org/10.1117/12.2652372

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