Title | ||
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Assessing Noise Amplitude in Remotely Sensed Images Using Bit-Plane and Scatterplot Approaches |
Abstract | ||
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The problem of assessing the noise amplitude affecting remotely sensed hyperspectral images and the corresponding signal-to-noise ratio is discussed. An original algorithm for noise estimation, which performs the analysis of image bit-planes in order to assess their randomness, is described. Differently from more traditional signal-to-noise estimators, which need a homogeneous area in the concerned image to isolate noise contributions, this estimator is almost insensitive to scene texture, a circumstance that allows the developed method to carefully assess the noise amplitude of nearly any observed targets. The developed algorithm has been compared with the well-known noise estimator scatterplot method, for which a novel implementation based on the Hough transform is presented. Hyperspectral and multispectral data cubes collected by the following aerospace imagers, MIVIS, VIRS-200, and MOMS-2P on PRIRODA, have been utilized for investigating the performance of the two considered estimators. Outcomes from processing synthetic and natural images are presented and discussed along this paper. |
Year | DOI | Venue |
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2007 | 10.1109/TGRS.2007.897421 | IEEE T. Geoscience and Remote Sensing |
Keywords | Field | DocType |
Hough transforms,geophysical techniques,image processing,random noise,remote sensing,Hough transform,MIVIS,MOMS-2P,PRIRODA,VIRS-200,aerospace imagers,bit-plane approach,hyperspectral images,image bit-planes,noise amplitude,noise estimation,randomness,remotely sensed images,scatterplot approach,signal-to-noise estimators,signal-to-noise ratio,Bit-plane analysis,Hough transform,hyperspectral remote sensing,image processing,noise amplitude,scatterplot,signal-to-noise ratio (SNR) | Computer vision,Algorithm design,Bit plane,Signal-to-noise ratio,Remote sensing,Image processing,Hough transform,Hyperspectral imaging,Bruit,Artificial intelligence,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
45 | 8 | 0196-2892 |
Citations | PageRank | References |
2 | 0.38 | 11 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alessandro Barducci | 1 | 33 | 5.60 |
Donatella Guzzi | 2 | 14 | 3.26 |
Paolo Marcoionni | 3 | 2 | 2.41 |
Ivan Pippi | 4 | 2 | 3.09 |