Journal of Marine Science: Research & Development
Open Access

Abstract

Remote sensing is a system for detecting objects on land, water or other mediums without being in physically contact with the objects. Every remote sensing technique uses different waves to detect a distant object.This paper looks into the potential for remote classification of ocean floor terrains on the case of object detection. Analyzing a combination of quantitative acoustic backscatter measurements and high resolution bathymetry of the two main classes of sonar systems used by the marine research community; the echo-sounders and bathymetric side-scans sonar systems as the case may be. The high-resolution bathymetry side=scan sonar is important, not only for ocean topography, but it also provides accurate and up-to-date bottom slope corrections needed to convert the backscattered arrival angles of the seafloor echoes received by the sonars into its true angles of the surveyed incidence. An angular dependence of the ocean floor acoustic backscatter can then be derived for each region; making it possible to produce maps of acoustic backscattering strength in geographic coordinates over any Ocean floor. While the echoes sounders will scan the Ocean floor thoroughly for possible object detection on the ocean floor. Possible objects on the ocean floor will be determined using image processing technique for objection detection and enhancement. Image processing and analysis techniques aid in the interpretation of remotely sensed Sonar images to extract as useful information. ENVI image processing software software ArcGis software will be used. The analysis will produce a colorful map which contains possible features found on the ocean floor. The processed image on the other hand will show black and white imagery which identifies under water objects and features. The result will also produce a chart which can be viewed in 3D format.

Biography

Email: mario16@geologist.com