An Improved Model to Obtain Some Statistical Properties of Surface Slopes via Remote Sensing Using Variable Reflection Angle

Álvarez-Borrego, Josué; Martin-Atienza, Beatriz

doi:10.1109/tgrs.2010.2048036

Cited by 12 publications

(15 citation statements)

References 15 publications

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“…This behavior agrees with the results presented by Álvarez-Borrego (1993) and Geoff Cureton et al 2007, andMartin-Atienza (2010) for the Gaussian case.…”

Section: Discussionsupporting

confidence: 92%

Statistical Properties of Surface Slopes via Remote Sensing

Álvarez-Borrego¹,

Martin-Atienza²

2012

Remote Sensing - Advanced Techniques and Platforms

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“…This behavior agrees with the results presented by Álvarez-Borrego (1993) and Geoff Cureton et al 2007, andMartin-Atienza (2010) for the Gaussian case.…”

Section: Discussionsupporting

confidence: 92%

Statistical Properties of Surface Slopes via Remote Sensing

Álvarez-Borrego¹,

Martin-Atienza²

2012

Remote Sensing - Advanced Techniques and Platforms

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“…We also compare these results with the obtained previously by Álvarez-Borrego and Martín-Atienza. 12 In other words, illumination changes in the glitter pattern can be modeled using a Gaussian glitter function and the comparison with previous result will give us an idea about the behavior of these theoretical relationships. In our work, we assume that all the sea waves are moving along a single direction (in the open ocean the wind waves can be assumed to be mono-directional, however, this is not true for shallow environments because of the varied topography 13 ) and vertical plane containing this direction includes both the observer and the sun.…”

Section: Introductionmentioning

confidence: 84%

“…12 The statistical parameters of the sea surface slopes were obtained from the statistics of the glitter pattern considering the detector located at any heights over the mean of the sea level.…”

Section: Introductionmentioning

confidence: 99%

Theoretical statistical relationships between the intensities of an image of the sea surface and its slopes: a result comparison of rect and Gaussian glitter functions

et al. 2014

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Abstract. The reflection of the sunlight over the sea surface is called glitter pattern. In previous works where the one-dimensional case was analyzed, the glitter function was mathematically described by a rect function. This rect function has proven to be a very good representation of the glitter pattern. A Gaussian glitter function is used like a first approximation to the rect function. The statistical relationship between the variance and the correlation function of the intensities of the image, the glitter pattern, and the variance of the sea surface slopes are obtained and analyzed. The analytical solutions for these relationships are given by different equations; however, the graphic representations are very similar. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…Alvarez-Borrego and collaborators have published a number of papers in the past three decades [36][37][38][39][40][41][42][43][44][45]. Relationships have been derived between the autocorrelations of surface wave hights and glitter patterns; these relationships are then inverted so that wave heights can theoretically be obtained from aerial photographs of glitter patterns.…”

Section: Legacy Of Cox and Munkmentioning

confidence: 99%

“…Several authors (e.g., [44,45]) have studied glitter in ocean imagery by considering a clipped image revealing the locations of glitter pixels-pixels whose intensity is above a given threshold value. Examples of clipped images of a frame of DV14 at various threshold values are shown in Figure 13.…”

Section: Glitter Countsmentioning

confidence: 99%

Characterization of Sun Glitter Statistics in Ocean Video

Rainey¹,

Hallenborg²

2013

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OBJECTIVESunlight reflected on the moving sea surface, often referred to as glitter, is usually considered a hindrance to analysis of ocean scenes, and glitter removal algorithms are often employed in pre-processing of ocean imagery. However, glitter statistics can provide valuable insight into sea surface behavior, both from the standpoint of characterizing image "clutter" and gaining a better understanding of sea surface roughness. In this work, sun glitter is observed through shore-based video of the ocean collected at various optical wavelengths (visible and infrared), and various statistical properties of the collected video are analyzed. RESULTS A MATLAB® tool has been developed with which to analyze several key statistics of the collected video. This report details the functionality of this tool and demonstrates the behavior of a number of spatial-, temporal-, and spectral-domain statistics of glitter video. A detailed background on previous glitter-related research is also given.

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An Improved Model to Obtain Some Statistical Properties of Surface Slopes via Remote Sensing Using Variable Reflection Angle

Cited by 12 publications

References 15 publications

Statistical Properties of Surface Slopes via Remote Sensing

Statistical Properties of Surface Slopes via Remote Sensing

Theoretical statistical relationships between the intensities of an image of the sea surface and its slopes: a result comparison of rect and Gaussian glitter functions

Characterization of Sun Glitter Statistics in Ocean Video

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