Extraction of Shrimp Ponds Using Object Oriented Classification vis-a-vis Pixel Based Classification

Abstract

Rapid expansion of coastal aquaculture/shrimp farming in several countries has necessitated the inventory and monitoring of shrimp farms. These are essential tools for decision making with regard to aquaculture development, including regulatory laws, environmental protection, and revenue collection. In the context of aquaculture development policies of respective governments, much attention is focused on the identification and classification of shrimp farms, which are often located in remote areas. This study examines the classification of shrimp farms using pan sharpened IRS LISS-III images of the Kandleru creek area of Andhra Pradesh, India. IRS satellite images are subjected to pixel-based classification versus object-oriented classification for improving the identification of shrimp farms in the area.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2004
Accession Number
ADA436864

Entities

People

  • Nitin K. Tripathi
  • Ravi Chauhan
  • Sayedur R. Chowdhury

Organizations

  • Asian Institute of Technology

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Satellites
  • Classification
  • Data Processing
  • Environmental Protection
  • Extraction
  • Governments
  • Identification
  • Information Operations
  • Instructions
  • Monitoring
  • Remote Areas
  • Remote Sensing
  • Space Systems
  • Standards
  • Thailand

Fields of Study

  • Environmental science

Readers

  • Acoustical Oceanography.
  • Computer Vision.
  • Government and Public Administration Law.

Technology Areas

  • Space
  • Space - Space Objects