Ship Outline Feature Selection Using B-Spline Function.

Abstract

This thesis presents two methods of ship classification with IR images. The first method is the Fourier Coefficient method which transform the sample points of a superstructure profile of a ship to the spatial frequency components. The shape of the coefficient curve can be used to classify the type of a ship from 8 different categories. But, the differences is so minor that it is difficult to implement a computer program to recognize it. The second method is a B-spline Coefficient method which uses the uneven spaced spline coefficients to find the beginning, the peak, and the area of the lumps of a ship for classification. This method is better than the Fourier Coefficient method. The study of these methods is presented here. Additional keywords: Feature extraction; Fourier transformation; Preprocessing.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1984
Accession Number
ADA154236

Entities

People

  • W. Thavamongkon

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aspect Angle
  • Classification
  • Computations
  • Computer Graphics
  • Computer Programs
  • Computer Vision
  • Computers
  • Fast Fourier Transforms
  • Feature Extraction
  • Feature Selection
  • Guided Missiles
  • Image Processing
  • Interpolation
  • Landing Craft
  • Preprocessing
  • Rotation
  • Superstructures

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Naval Architecture and Marine Engineering.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space