Towards an automated ocean feature detection, extraction and classification scheme for SAR imagery

• Published in: International journal of remote sensing Vol. 24; no. 5; pp. 935 - 951
• Main Authors: Wu, S. Y., Liu, A. K.
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis Group 10-03-2003; Taylor and Francis
• Subjects: Applied geophysics; Earth sciences; Earth, ocean, space; Exact sciences and technology; Internal geophysics; Marine; Marine geology; West Pacific; Bering Sea; North Pacific; World Ocean; algorithms; possibilities; synthetic aperture radar; textures; Space remote sensing; imagery; data processing; Pacific Ocean; classification; backscattering; methodology; high resolution
• ISSN: 0143-1161; 1366-5901
• DOI: 10.1080/01431160210144606

Spaceborne synthetic aperture radar (SAR) observation is an important tool for monitoring and studying changes in various geophysical elements in and above world oceans. Because of SAR's ideal imaging capability and high resolution, the collection of SAR data will likely extend well into the 21st century. As the data become increasingly abundant and computers faster and more affordable, it naturally leads to an increasing need for an automated procedure to replace the labour-intensive manual screening process. In this paper, an integrated scheme for detection, extraction and classification of linear ocean features in SAR imagery is attempted for the purpose of automated screening. The methodology consists of feature detection based on greyscale histogram screening, feature extraction based on two-dimensional wavelet analysis and feature classification based on texture analysis. Using these algorithms on SAR data, several case studies of linear ocean features, including fronts, ice edges and a polar low, are presented herein. Though not fully automated at this stage, the integration of these algorithms seems to lay a promising foundation for the future development of a more automated ocean feature detection, extraction and classification scheme.