Proceedings Volume 9459 is from: Logo
20-24 April 2015
Baltimore, Maryland, United States
Front Matter: Volume 9459
Proc. SPIE 9459, Front Matter: Volume 9459, 945901 (4 June 2015); doi: 10.1117/12.2201088
Free Space Optical Communications Underwater
Proc. SPIE 9459, Spatial multiplexing for blue lasers for undersea communications, 945905 (6 July 2015); doi: 10.1117/12.2183479
Characterization for Underwater Optical Communications
Proc. SPIE 9459, Underwater optical impulse response measurement using a chaotic lidar sensor, 945909 (19 May 2015); doi: 10.1117/12.2179875
Proc. SPIE 9459, Experimental validation of a Monte Carlo model for determining the temporal response of the underwater optical communications channel, 94590A (19 May 2015); doi: 10.1117/12.2177840
Underwater Optical Imaging and Ranging I
Proc. SPIE 9459, FMCW optical ranging technique in turbid waters, 94590B (19 May 2015); doi: 10.1117/12.2177051
Proc. SPIE 9459, Pulse compression techniques to improve modulated pulsed laser line scan systems, 94590C (19 May 2015); doi: 10.1117/12.2179824
Proc. SPIE 9459, Distributed compressive sensing vs. dynamic compressive sensing: improving the compressive line sensing imaging system through their integration, 94590D (19 May 2015); doi: 10.1117/12.2180130
Proc. SPIE 9459, Semi-empirical inversion technique for retrieval of quantitative attenuation profiles with underwater scanning lidar systems, 94590E (28 May 2015); doi: 10.1117/12.2180158
Underwater Optical Imaging and Ranging II
Proc. SPIE 9459, Analysis of polarimetric image by full stokes vector imaging camera for retrieval of target polarization in underwater environment, 94590F (19 May 2015); doi: 10.1117/12.2179500
Proc. SPIE 9459, The influence of the choice of the oceanic phase function on imaging under water, 94590G (19 May 2015); doi: 10.1117/12.2176331
Proc. SPIE 9459, A controlled laboratory environment to study EO signal degradation due to underwater turbulence, 94590H (19 May 2015); doi: 10.1117/12.2177028
Proc. SPIE 9459, A miniature fiber-optic sensor for high-resolution and high-speed temperature sensing in ocean environment, 94590I (19 May 2015); doi: 10.1117/12.2180168
Ocean Observations and Models
Proc. SPIE 9459, An expansion of glider observation strategies to systematically transmit and analyze preferred waypoints of underwater gliders, 94590J (19 May 2015); doi: 10.1117/12.2176560
Proc. SPIE 9459, Are the satellite-observed narrow, streaky chlorophyll filaments locally intensified by the submesoscale processes?, 94590K (19 May 2015); doi: 10.1117/12.2177569
Proc. SPIE 9459, Bio-optical model of remote sensing signals in a stratified ocean, 94590M (19 May 2015); doi: 10.1117/12.2179770
Proc. SPIE 9459, Ocean and polarization observations from active remote sensing: atmospheric and ocean science applications, 94590N (19 May 2015); doi: 10.1117/12.2181544
Proc. SPIE 9459, Detecting oil on water using polarimetric imaging, 94590P (19 May 2015); doi: 10.1117/12.2180169
Sea Surface Temperature Remote Sensing I
Proc. SPIE 9459, A fast and robust implementation of the adaptive destriping algorithm for SNPP VIIRS and Terra/Aqua MODIS SST, 94590R (19 May 2015); doi: 10.1117/12.2177036
Proc. SPIE 9459, Evaluation of VIIRS SST fields through the analysis of overlap regions between consecutive orbits, 94590S (19 May 2015); doi: 10.1117/12.2179606
Proc. SPIE 9459, Seasonal trends of ACSPO VIIRS SST product characterized by the differences in orbital overlaps for various water types, 94590T (19 May 2015); doi: 10.1117/12.2179731
Proc. SPIE 9459, Suppressing the noise in SST retrieved from satellite infrared measurements by smoothing the differential terms in regression equations, 94590U (19 May 2015); doi: 10.1117/12.2177021
Sea Surface Temperature Remote Sensing II
Proc. SPIE 9459, A deterministic inversion technique for sea surface temperature retrieval from MODIS radiances, 94590Y (19 May 2015); doi: 10.1117/12.2179868
Proc. SPIE 9459, Sensor stability for SST (3S) monitoring system, 94590Z (19 May 2015); doi: 10.1117/12.2177292
Proc. SPIE 9459, Identification of sea surface temperature (SST) variability areas through a statistical approach using remote sensing and numerical ocean model data, 945910 (19 May 2015); doi: 10.1117/12.2177044
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