Integrating TPS and level transformation for the mosaic of high-resolution image sequence from civil unmanned aerial vehicle

Jun Wu; Gang Xu; Guangjing He

doi:10.1117/12.896199

8 July 2011 Integrating TPS and level transformation for the mosaic of high-resolution image sequence from civil unmanned aerial vehicle

Jun Wu, Gang Xu, Guangjing He

Author Affiliations +

Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80092J (2011) https://doi.org/10.1117/12.896199
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China

Abstract

Low-cost high-solution imagery is attractive to various applications. This paper presents our research on the automatic mosaic of high-resolution image sequence from civil Unmanned Aerial Vehicle (UAV). First, the image geometry distortions resulted from perspective projection are discussed and based on them, the key issue to the mosaic of images from UAV are described. Second, two common techniques for the registration of remote sensing image, homography alignment and Thin Plate Spline (TPS) transformation, are outlined, compared and based on their complement with each other, the integration of two techniques for the mosaic of long-ranged image with geometry distortion is proposed. Third, one leveled TPS technique is developed to integrate homography with TPS as well as its parameters are estimated with level transformation or Least Square Technique. Finally, the Mosaic of UAV high-resolution Image sequence is experimented with proposed approach and valuable conclusions are conducted as well.

Citation Download Citation

Jun Wu, Gang Xu, and Guangjing He "Integrating TPS and level transformation for the mosaic of high-resolution image sequence from civil unmanned aerial vehicle", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80092J (8 July 2011); https://doi.org/10.1117/12.896199

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KEYWORDS

Unmanned aerial vehicles

Cameras

Image registration

Image processing

Remote sensing

Digital image processing

Image restoration

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