2019
DOI: 10.5194/isprs-archives-xlii-2-w13-1701-2019
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Reliability of the Geometric Calibration of an Hyperspectral Frame Camera

Abstract: <p><strong>Abstract.</strong> One of the main tools for high resolution remote sensing and photogrammetry is the lightweight hyperspectral frame camera, that is used in several application areas such as precision agriculture, forestry, and environmental monitoring. Among these types of sensors, the Rikola (which is based on a Fabry–Perot interferometer (FPI) and produced by Senop) is one of the latest innovations. Due to its internal geometry, there are several issues to be addressed for the … Show more

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Cited by 3 publications
(2 citation statements)
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“…It is worth mentioning at this point that for aerial applications, geometric calibration of the images is also advised. This can be achieved by ca lculating the extrinsic and intrinsic parameters of the lenses and imagers by simply imaging a chessboard of known dimensions (Musci et al, 2019). Again, for applications that require high spatial resolution, sharpening of the image is also advised, using a well-defined point spread function.…”
Section: 𝑹𝒆𝒍𝒂𝒕𝒊𝒗𝒆 𝑹𝒆𝒇𝒍𝒆𝒄𝒕𝒂𝒏𝒄𝒆 𝒊 𝒋 = ∫ 𝑹𝒆𝒇𝒍𝒆𝒄𝒕𝒂𝒏𝒄𝒆 𝑺𝒕𝒂𝒏𝒅𝒂𝒓𝒅 𝒊 ( 𝝀 ) •𝑺...mentioning
confidence: 99%
“…It is worth mentioning at this point that for aerial applications, geometric calibration of the images is also advised. This can be achieved by ca lculating the extrinsic and intrinsic parameters of the lenses and imagers by simply imaging a chessboard of known dimensions (Musci et al, 2019). Again, for applications that require high spatial resolution, sharpening of the image is also advised, using a well-defined point spread function.…”
Section: 𝑹𝒆𝒍𝒂𝒕𝒊𝒗𝒆 𝑹𝒆𝒇𝒍𝒆𝒄𝒕𝒂𝒏𝒄𝒆 𝒊 𝒋 = ∫ 𝑹𝒆𝒇𝒍𝒆𝒄𝒕𝒂𝒏𝒄𝒆 𝑺𝒕𝒂𝒏𝒅𝒂𝒓𝒅 𝒊 ( 𝝀 ) •𝑺...mentioning
confidence: 99%
“…Indeed, a significant number of applications of SfM/UAV photogrammetry with pre-calibrated cameras have relied on available chessboard-based calibration software (recent examples include Cucchiaro et al, 2018;Erenoğlu & Erenoğlu, 2018;Halik & Smaczýnski, 2018;Menge & Lohsträter, 2018;Probst et al, 2018;Ventura et al, 2018;Wierzbicki, 2018;Burnett et al, 2019;Javadnejad et al, 2019;Kölling et al, 2019;Luppichini et al, 2019;Mahmood et al, 2019;Musci et al, 2019;Yurtseven, 2019), often without particular considerations, e.g. concerning focusing distance and frame coverage.…”
Section: Introductionmentioning
confidence: 99%