Precise Geometric Correction and Robust Mosaicking for Airborne Lightweight Optical Butting Infrared Imaging System

In view of the urgent need for high-resolution and high-precision infrared image data for geological environmental monitoring, we have developed a lightweight optical butting infrared imaging system for unmanned aerial vehicles (UAVs) to obtain infrared image data. In this paper, we proposed a robus...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.93569-93579
Main Authors: Wu, Fanlu, Guan, Hainan, Yan, Dejie, Wang, Zheng, Wang, Dong, Meng, Qingyu
Format: Article
Language:English
Subjects:
Adaptive optics
Cameras
Distortion
Environmental monitoring
Ghosting
Image mosaicking
Image resolution
Infrared imagery
Infrared imaging
Infrared imaging systems
Lightweight
non-linear distortion correction
Nonlinear distortion
Optical distortion
Robustness
Similarity
Transformations
trapezoidal distortion correction
UAVs
Unmanned aerial vehicles
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Summary:In view of the urgent need for high-resolution and high-precision infrared image data for geological environmental monitoring, we have developed a lightweight optical butting infrared imaging system for unmanned aerial vehicles (UAVs) to obtain infrared image data. In this paper, we proposed a robust mosaicking method combination of as-projective-as-possible warps and similarity transformation, which uses multiple images to generate a wide viewing field panorama. It is developed based on an analysis of projective transformation and similarity transformation. The proposed method simultaneously takes into consideration the flexibility of alignment and the preservation of image shapes. On the overlapping regions, it performs as-projective-as-possible warps. On the non-overlapping regions, it gradually becomes a similarity warp. The results show that the proposed method weakens the "ghosting," shape distortion, and area distortion.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2928380