Characterization of SAR clutter and its applications to land and ocean observations /

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Bibliographic Details
Author / Creator:Gao, Gui, author.
Imprint:Singapore : Springer, [2019]
Description:1 online resource
Subject:Synthetic aperture radar.
Remote sensing -- Mathematics.
Radar in earth sciences.
Earth sciences -- Remote sensing.
Earth sciences -- Remote sensing.
Radar in earth sciences.
Remote sensing -- Mathematics.
Synthetic aperture radar.
Electronic books.
Format: E-Resource Book
URL for this record:
Hidden Bibliographic Details
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (EBSCO, viewed February 1, 2019).
Summary:This book discusses statistical modeling of single- and multi-channel synthetic aperture radar (SAR) images and the applications of these newly developed models in land and ocean monitoring, such as target detection and terrain classification. It is a valuable reference for researchers and engineers interested in information processing of remote sensing, radar signal processing, and image interpretation.
Other form:Print version: Gao, Gui. Characterization of SAR clutter and its applications to land and ocean observations. Singapore : Springer, [2019] 981131019X 9789811310195
Standard no.:10.1007/978-981-13-1020-1
Table of Contents:
  • Overview for statistical modeling of SAR images
  • Statistical modeling of single-channel SAR images
  • Target detectiona nd terrain classification of single-channel SAR images
  • Statistical modeling of multi-channel SAR images
  • Moving vehicle detection in along-track interferometric SAR complex images
  • Statistical modeling and target detection of PolSAR images.