Electronic Still Camera Processing and Mosaicking
Abstract
Since 1990, The Deep Submergence Laboratory and Deep Submergence Group of the Woods Hole Oceanographic Institution have been collecting large quantities of digital imagery and creating digital photomosaics of the sea floor. Initially, the digital image collection, processing, and mosaicking processes were all highly specialized "one of a kind" efforts. Over the past decade, this process has been refined, standardized, and made into a robust "pipeline." The collection, processing, and mosaicking can be reliably carried out on a routine basis. Deep Submergence Group personnel perform collection, processing and archiving, while science party users can be trained in mosaicking. This report will describe the pipeline, yielding insight into the evolution and purposes of each step. Development of imaging and mosaicking efforts continues at the Deep Submergence Laboratory. The current mosaicking research thrust includes two main components, automation and quantification. The automation effort is attempting to make the process of mosaicking less consuming of manpower. The quantification effort is attempting to turn our mosaic products from being non-scaled non-metric pictures to accurate quantifiable representations of the sea floor (Singh, et al, 1998). This report will not describe those research efforts; instead it will concentrate on describing the results of the past ten years of development of the processing and manual mosaicking systems. It is expected that the cameras, processing systems, and mosaicking tools will all continue to evolve as new imaging and computing systems become available. This report presents the state of the processing pipeline in late-1999. The processing and mosaicking pipeline that will be described has been effectively used with data from both the Argo II and Jason vehicles, as well as with data from the U.S. Navy's NR-1 research submarine. With minor modification, it has also been used to mosaic video snapshots
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 23, 1999
- Accession Number
- ADA372774
Entities
People
- Jonathan C. Howland
- Steven Lerner
Organizations
- Woods Hole Oceanographic Institution