Spaceborne underwater imaging

Yoav Y. Schechner, David J. Diner, John V. Martonchik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Shallow waters are very important for human and biological activity. Remote sensing of these areas is challenging, as it requires separation of ocean (or lake) bottom, water and atmospheric effects. In this paper we describe a concept and theory for spaceborne recovery of the underwater depth map, optical characteristics of the water and atmosphere, and the descattered ocean bottom. The sensing is based on multi-angular geometry and polarization. An orbiting platform captures a subspace of the Earth's light field, which is sensitive to the atmospheric and water characteristics. Consequently, it is possible to invert the image formation process using the acquired data. Recovery is simplified using recent findings about natural characteristics of deep water backscatter and surface transmissivity. It also exploits accumulated historical sounding data.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Computational Photography, ICCP 2011
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Computational Photography, ICCP 2011 - Pittsburgh, PA, United States
Duration: 8 Apr 201110 Apr 2011

Publication series

Name2011 IEEE International Conference on Computational Photography, ICCP 2011

Conference

Conference2011 IEEE International Conference on Computational Photography, ICCP 2011
Country/TerritoryUnited States
CityPittsburgh, PA
Period8/04/1110/04/11

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition

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