2023
DOI: 10.1109/jstars.2022.3225964
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A New Method for Estimating Signal-to-Noise Ratio in UAV Hyperspectral Images Based on Pure Pixel Extraction

Abstract: Signal-to-noise ratio (SNR) is an important radiation characteristic parameter for remote sensing image quality assessment as well as a key performance indicator for remote sensing sensors. At present, the SNR estimation methods based on regular segmentation or continuous segmentation are generally used to obtain image SNR. However, the land cover type has a great influence on the results of the SNR estimation method using regular segmentation, especially the high spectral resolution and high spatial resolutio… Show more

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Cited by 6 publications
(1 citation statement)
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“…In this study we chose the Specim ImSpector V10E efficiency curve, which rises from slightly above 30% at 0.4 m to approximately 60% at 0.6 m, returning to slightly above 30% at 0.8 m, and falling to less than 5% at 1.0 m. This produces the photon flux curve (units of photons m sr ), which can be converted into spectral radiance (units of W m sr nm ). Due to the presence of sensor noise in the recorded spectral radiance, a peak signal-to-noise ratio (SNR) of 20:1 is commonly assumed for HSI sensors [ 75 77 ]. Provided that the instrument in the case study utilizes a charge-coupled device (CCD) sensor to measure the incident photon flux and convert the signal from analog to digital output, various sources of noise, including photon noise, dark current, photo response nonuniformity, and read-out noise, contribute to the SNR.…”
Section: Resultsmentioning
confidence: 99%
“…In this study we chose the Specim ImSpector V10E efficiency curve, which rises from slightly above 30% at 0.4 m to approximately 60% at 0.6 m, returning to slightly above 30% at 0.8 m, and falling to less than 5% at 1.0 m. This produces the photon flux curve (units of photons m sr ), which can be converted into spectral radiance (units of W m sr nm ). Due to the presence of sensor noise in the recorded spectral radiance, a peak signal-to-noise ratio (SNR) of 20:1 is commonly assumed for HSI sensors [ 75 77 ]. Provided that the instrument in the case study utilizes a charge-coupled device (CCD) sensor to measure the incident photon flux and convert the signal from analog to digital output, various sources of noise, including photon noise, dark current, photo response nonuniformity, and read-out noise, contribute to the SNR.…”
Section: Resultsmentioning
confidence: 99%