Presentation + Paper
16 December 2022 Large-area seamless mosaic for UAV thermal infrared sequence images based on prior coordinates and overlap area
Author Affiliations +
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
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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KEYWORDS
Unmanned aerial vehicles

Feature extraction

Infrared imaging

Infrared radiation

Distortion

Thermography

Image processing

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