Accession Number:

ADA199536

Title:

Segmentation of Synthetic Aperture Radar (SAR) Images of Ocean Surface by the Texture Energy Transform Method

Descriptive Note:

Interim rept.

Corporate Author:

NAVAL RESEARCH LAB WASHINGTON DC

Personal Author(s):

Report Date:

1988-08-17

Pagination or Media Count:

22.0

Abstract:

A texture energy transform approach has been chosen for the study of texture analysis and classification in digital images. It is based on the idea of detecting the degree of similarity between the spatial variation of image pixels and a set of chosen mask filters. Feature measures which characterize the texture are simpler to compute as compared with other approaches based on auto- correlation functions, digital transform methods, spatial gray tone co- occurrence probabilities, auto-regression models, etc. An algorithm was developed for the segmentation of SAR ocean surface images into regions with and without directional streaks. Excellent results are obtained in which surface areas with relatively rough and calm water are identified.

Subject Categories:

  • Optical Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE