Wide-angle spectral imaging using a Fabry-Pérot interferometer

Strauch, Matthias; Livshits, Irina; Bociort, Florian; Urbach, H. P.

doi:10.2971/jeos.2015.15037

Cited by 5 publications

(2 citation statements)

References 17 publications

(14 reference statements)

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“…4(b) a 2D image simulation made with CODEV shows that, despite its simplicity, the system has an imaging quality that is adequate for its intended purpose. The system can also be adapted for spectral imaging applications [16]. For optimization we used the default CODEV merit function that is based on transverse ray aberrations.…”

Section: Switching Between Local Minimumsmentioning

confidence: 99%

One-dimensional searches for finding new lens design solutions efficiently

2016

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A special structure is present in the lens design landscape that makes it different from a general global optimization problem: many local minimums are closely related to minimums of simpler problems and can therefore be found by decomposing the search for them in simple steps. We show here that in the design landscape of a wide-angle pinhole lens and in closely related optimization landscapes, all good local minimums found by other methods can be obtained easily with a succession of one-dimensional searches starting from simpler systems. By replacing high-dimensional searches with a succession of one-dimensional searches, the design efficiency can be increased significantly. By combining this method with conventional design methods, the wide-angle pinhole lens can be designed starting from a single lens.

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Section: Switching Between Local Minimumsmentioning

confidence: 99%

One-dimensional searches for finding new lens design solutions efficiently

2016

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“…Micro-Hyperspec is a typical pushbroom imager with a high signal-to-noise ratio (SNR) and high spectral resolution; however, its geometric referencing and mosaics still prove to be an obstacle for data processing [7]. In comparison, the Rikola imager uses a Fabry-Perot interferometer (FPI) to acquire the whole 2D plane per band at once; however, accurate geometric matching among different spectral bands is a challenge, especially when ground objects are in motion [9,10]. UHD is a snapshot imager that captures 3D data, but with relatively low spatial resolution and with only 50 × 50 hyperspectral pixels [11].…”

Section: Introductionmentioning

confidence: 99%

Lightweight Integrated Solution for a UAV-Borne Hyperspectral Imaging System

Zhang

Wei³

et al. 2020

Remote Sensing

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The rapid development of unmanned aerial vehicles (UAVs), miniature hyperspectral imagers, and relevant instruments has facilitated the transition of UAV-borne hyperspectral imaging systems from concept to reality. Given the merits and demerits of existing similar UAV hyperspectral systems, we presented a lightweight, integrated solution for hyperspectral imaging systems including a data acquisition and processing unit. A pushbroom hyperspectral imager was selected owing to its superior radiometric performance. The imager was combined with a stabilizing gimbal and global-positioning system combined with an inertial measurement unit (GPS/IMU) system to form the image acquisition system. The postprocessing software included the radiance transform, surface reflectance computation, geometric referencing, and mosaic functions. The geometric distortion of the image was further significantly decreased by a postgeometric referencing software unit; this used an improved method suitable for UAV pushbroom images and showed more robust performance when compared with current methods. Two typical experiments, one of which included the case in which the stabilizing gimbal failed to function, demonstrated the stable performance of the acquisition system and data processing system. The result shows that the relative georectification accuracy of images between the adjacent flight lines was on the order of 0.7–1.5 m and 2.7–13.1 m for cases with spatial resolutions of 5.5 cm and 32.4 cm, respectively.

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