NDLI: Computer-Assisted Analysis of Near-Bottom Photos for Benthic Habitat Studies

Content Provider	IEEE Xplore Digital Library
Author	Ferrini, V.L. Singh, H. Clarke, M.E. Wakefield, W. York, K.
Copyright Year	2006
Description	Author affiliation: Appl. Ocean Phys. & Eng., Woods Hole Oceanogr. Instn., MA (Ferrini, V.L.; Singh, H.)
Abstract	This paper reports on a methodology developed for the analysis of near-bottom photographs collected for fisheries habitat studies. These tools provide a framework for conducting minimally invasive in-situ investigations of benthic organism abundance, diversity, and distribution using high-resolution optical datasets integrated with high precision navigational data. Utilizing these techniques with near-bottom photos collected with a precision navigated survey platform greatly increases the efficiency of image analysis and provides new insight about the relationships between benthic organisms and the habitats in which they are found. Basic requirements for the analysis of near-bottom seafloor images include camera calibration and quantification of the height of the lens above the seafloor throughout the survey. Corrections are required to compensate for image distortion due to lighting limitations and the variable micro-topography of the seafloor. These parameters can be constrained by utilizing precisely navigated survey platforms such as Autonomous Underwater Vehicles (AUVs) or Remote Operated Vehicles (ROVs). The methodology we present was developed with data collected by the SeaBED AUV off the coast of Washington, Oregon and California. A digital database containing benthic organism identifications, measurements, and locations was generated for each image using a Graphical User Interface (GUI) created in MatlabTM . This methodology has demonstrated a significant increase in the efficiency of image analysis for benthic habitat studies, and provides the opportunity to assess small scale spatial distribution of organisms in their natural habitats. Collecting overlapping images permits the creation of photomosaics and the quantification of organism abundance per unit area of the seafloor
Starting Page	1
Ending Page	4
File Size	4076469
Page Count	4
File Format	PDF
ISBN	1424401143
DOI	10.1109/OCEANS.2006.306899
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Organisms Sea floor Navigation Image analysis Underwater vehicles Remotely operated vehicles Graphical user interfaces Aquaculture Minimally invasive surgery Integrated optics
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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