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Spaceborne Underwater Imaging 1 David J. Diner (JPL/CALTECH) John Martonchik (JPL/CALTECH) Yoav Y. Schechner (Technion, Israel) c Copyright 2011. All rights reserved.
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2 Importance : Coastal Areas * Most human activity: safety, archaeology, recreation * Biological activity * Aerosol retrieval * Hydrosol retrieval Schechner, Diner, Martonchik NASA
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bottom 3 Schechner, Diner, Martonchik
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bottom l obj UW 4 Schechner, Diner, Martonchik
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bottom 5 Schechner, Diner, Martonchik l obj UW 0 1 z exp z
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bottom 6 Schechner, Diner, Martonchik l obj UW 0 1 z exp z atmos
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bottom l obj UW 7 Schechner, Diner, Martonchik 0 1 z z exp cos -1 exp atmos cos -1
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0 1 z z exp cos -1 0 1 z z exp cos -1 z exp cos -1 z exp cos -1 t water = 8 Schechner, Diner, Martonchik
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bottom l obj UW 9 Schechner, Diner, Martonchik
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10 Schechner, Diner, Martonchik
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z exp cos -1 z exp cos -1 t water = t = 1- 11 Schechner, Diner, Martonchik
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12 z Sun beam water atmosphere bottom l obj UW t water = 1- i Schechner, Diner, Martonchik
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13 z Sun beam water atmosphere a l sky bottom i Schechner, Diner, Martonchik
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14 z Sun beam water atmosphere a b bottom l obj UW i l sky Schechner, Diner, Martonchik
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15 Schechner, Diner, Martonchik l obj UW z depth map Simulation
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16 Schechner, Diner, Martonchik Simulation simulated view z depth map
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17 atmosphere a bottom i deep l sky Schechner, Diner, Martonchik
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18 a i deep i t water = 1- a l obj UW l sky Schechner, Diner, Martonchik
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19 i deep i l obj UW - t water = 1- a a l sky Schechner, Diner, Martonchik
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20 l obj UW i deep i(x)i(x) - z Schechner, Diner, Martonchik z (x)z (x) l obj UW ( x ) - cos 1 + 1 e t surface e atmos cos
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Dependence on 21 l obj UW i deep i(x)i(x) - l obj UW (x)(x) z Schechner, Diner, Martonchik atmos z( x ) Two unknowns per pixel x * Object radiance (descattered) * Depth map
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Dependence on 22 i deep i(x)i(x) - l obj UW (x)(x) atmos z(x)z(x) Multispectral Remote Bathymetry No object descattering Infer depth map z(x) from spectral ratios Impressive Vary with unknown object, media Lyzenga’78, Philpot’89, Stumpf & Holderied’03
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23 l obj UW i deep i(x)i(x) - l obj UW (x)(x) z Schechner, Diner, Martonchik atmos z(x)z(x) Dependence on is unknown
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water atmosphere bottom 24 Schechner, Diner, Martonchik z (x)z (x) l obj UW ( x ) - cos 1 + 1 e e atmos cos
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orbit N F N F water atmosphere bottom 25 Schechner, Diner, Martonchik Lightfield Cam
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Multi-angle Imaging SpectroRadiometer (MISR) Res: 275 m Bands: 446, 558, 672, 866 nm Polar orbit on NASA’s Terra Dec’99 26 http://www-misr.jpl.nasa.gov/
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27 Schechner, Diner, Martonchik Simulation simulated view at nadir z depth map
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28 Schechner, Diner, Martonchik Simulation simulated view z depth map
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29 Schechner, Diner, Martonchik Simulation z depth map l obj N estimated
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30 Schechner, Diner, Martonchik z 5 1015 20 35 10 20 30 z true depth estimated depth [meters]
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31 log t surface [ i(x ) – i ] deep sounding 1 + 1 cos z (x ) sounding slope Schechner, Diner, Martonchik assume the same? (x ) sounding Unknown l obj UW
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Sparse soundings z (x ) sounding Known assumed unpolarized (x ) sounding Unknown l obj UW 32
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T surface t atmosphere 33 deep i(x) – i = l obj UW ( x ) - z (x)z (x) 1 + 1 cos e u q T surface u q - - pol independent of x Schechner, Diner, Martonchik
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8 Spectral bands, three of which are polarimetric Multiangle SpectroPolarimetric Imager (MSPI) Airborne camera (AirMSPI) In nose of NASA ER-2 high-altitude aircraft 34
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35 Spaceborne Underwater Imaging Yoav Schechner, David Diner, John Martonchik
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