BENTHIC CLASSIFICATION OF CORALREEFS USING SVM CLASSFIER

Abstract

The objective of the proposed work is to develop a SVM based classification system that identifies the state and type of the coral reef images using  Support  Vector  Machine (SVM) classifier. Many conservation programs and monitoring surveys are conducted around the world to preserve coral reefs which play an important role in marine biodiversity and human livelihood. A basic way of monitoring reefs is to determine the population of different “benthos” or organisms in a reef area such as living or dead corals, algae, etc.. It is utilized by marine scientists to deduce if a reef ecosystem is healthy, dying or at risk. The proposed  work  describes  the  classification procedure for  processing coral reef images and rendering  the  required  data  through  proper  visualization  tools.