AFC-900 large-format aerial frame camera: design principles and photogrammetric processing

Zhou, Qi; Duan, Yun‐Bo; Liu, Xiu; Zhao, Xinbo; Dong, Jieke; Zhang, Hao

doi:10.1117/12.2604627

Cited by 2 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The improvement of CCD hardware performance is one accelerator, and another breakthrough point is the multi-camera stitching technology. Multi-camera stitching imaging method breaks many limitations of the single-lens system, which not only significantly widens the system's field of view and image swath [8][9][10][11] , but also can combine different hyperspectral imaging sensors to acquire wider spectral information, such as the CASI/SASI/TASI 12,13 .…”

Section: Introductionmentioning

confidence: 99%

ADHHI airborne hyperspectral imager: camera structure and geometric correction

Dong

Duan

Zhou

et al. 2022

Image and Signal Processing for Remote Sensing XXVIII

View full text Add to dashboard Cite

For decades, the design of remote sensors has to make trade-offs among many characteristics such as the field of view (FOV), spatial resolution, spectral resolution, radiometric resolution, and the number of bands. It’s inevitable to weaken some characteristics to enhance others. Moreover, these problems lead to using multi-sources of remote sensing data in practical projects where a single sensor can’t meet the relevant requirements. The Airborne Dual-mode High-resolution Hyperspectral Imager (ADHHI) provides a new solution to the above limitations by the technology of multi-camera stitching. In this way, many excellent but conflicting characteristics can be separated into different imaging sub-systems, and are combined together during data processing. Supported by related processing algorithms and software, ADHHI embeds many excellent characteristics into one system, such as high spatial resolution, high spectral resolution, and high radiometric resolution. Firstly, this paper picks some common imaging sensors to illustrate the problem of conflicting characteristics. Secondly, we introduce the camera structure and sensor parameters of ADHHI. Then, we sketch out the data processing workflow and elaborate on relevant principles and results of the whole geometric correction, such as homo-spectral stitching and hetero-spectral registration. Finally, this airborne hyperspectral imager’s advantages and application prospects are concluded.

show abstract

Section: Introductionmentioning

confidence: 99%