Radar Imaging and Feature Extraction
Radar Imaging and Feature Extraction

Author: Jian Li

Publisher:

Published: 1999

Total Pages: 323

ISBN-13:

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Advanced spectral estimation methods are presented for radar imaging and target feature extraction. We study problems involved in inverse synthetic aperture radar (ISAR) autofocus and imaging, synthetic aperture radar (SAR) autofocus and motion compensation, superresolution SAR image formation, three-dimensional (3-D) target feature extraction via curvilinear SAR (CLSAR), and time delay estimation. For the ISAR imaging problem, we present a parametric AUTOCLEAN (AUTOfocus via CLEAN) algorithm, and two non-parametric algorithms including an adaptive Capon and a recursive APES (Amplitude and Phase EStimation). For the problems related to SAR imaging, we propose a Semi-PARametric (SPAR) algorithm for target feature extraction and superresolution image formation, and two parametric methods, MCRELAX (Motion Compensation RELAX) and MCCLEAN (Motion Compensation CLEAN), for simultaneous target feature extraction and cross-range phase error compensation. For the 3-D target feature extraction problem, an AUTOfocus algorithm based on the RELAXation-based optimization approach (AUTORELAX) is proposed to compensate the aperture errors in CLSAR and to extract 3-D target features. For the time delay estimation problem, we first present a Weighted Fourier transform and RELAXation-based (WRELAX) approach. Then, a MODE-WRELAX (MODE (Method Of Direction Estimation) together with WRELAX) algorithm is proposed for the superresolution time delay estimation.

Linear Feature Extraction from Radar Imagery: Phase 2, Base Contract Report
Linear Feature Extraction from Radar Imagery: Phase 2, Base Contract Report

Author:

Publisher:

Published: 1987

Total Pages: 39

ISBN-13:

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The goal of this effort is to develop and demonstrate prototype processing capabilities for a knowledge based system to automatically extract and analyze linear features from synthetic aperture radar (SAR) imagery. This effort constitutes Phase II funding through the Defense Small Business Innovative Research (SBIR) Program. Previous work examined the feasibility of and technology issues involved in the development of an automated linear feature extraction system. The current effort continues this examination and is developing the technologies involved in automating this image understanding task. Keywords: Feature extraction, Edge detection, Terrain analysis, Image understanding.

Feature Extraction from Synthetic Aperture Radar Imagery
Feature Extraction from Synthetic Aperture Radar Imagery

Author: Yeliz Akyildiz

Publisher:

Published: 2000

Total Pages: 222

ISBN-13:

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We also address a structure selection problem of classifying a given scatterer response as either localized or distributed. We develop three different tests and compare these tests in terms of their computational complexity and performance.

Linear Feature Extraction from Radar Imagery. SBIR (Small Business Innovative Research) Phase 2. Option I.
Linear Feature Extraction from Radar Imagery. SBIR (Small Business Innovative Research) Phase 2. Option I.

Author: Gary D. Conner

Publisher:

Published: 1988

Total Pages: 46

ISBN-13:

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The goal of this effort is to develop and demonstrate prototype processing capabilities for a knowledge-based system to automatically extract and analyze linear features from synthetic aperture radar (SAR) imagery. This effort constitutes Phase II funding through the Defense Small Business Innovative Research (SBIR) Program. Previous work examined the feasibility of the technology issues involved in the development of an automatedlinear feature extraction system. This Option I Final Report documents this examination and the technologies involved in automating this image understanding task. In particular, it reports on a major software delivery containing an image processing algorithmic base, a perceptual structures manipulation package, a preliminary hypothesis management framework and an enhanced user interface. (rh).

Principles of Synthetic Aperture Radar Imaging
Principles of Synthetic Aperture Radar Imaging

Author: Kun-Shan Chen

Publisher: CRC Press

Published: 2016-01-05

Total Pages: 232

ISBN-13: 1466593156

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Principles of Synthetic Aperture Radar Imaging: A System Simulation Approach demonstrates the use of image simulation for SAR. It covers the various applications of SAR (including feature extraction, target classification, and change detection), provides a complete understanding of SAR principles, and illustrates the complete chain of a SAR operati

Polarimetric Radar Imaging
Polarimetric Radar Imaging

Author: Jong-Sen Lee

Publisher: CRC Press

Published: 2017-12-19

Total Pages: 422

ISBN-13: 1420054988

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The recent launches of three fully polarimetric synthetic aperture radar (PolSAR) satellites have shown that polarimetric radar imaging can provide abundant data on the Earth’s environment, such as biomass and forest height estimation, snow cover mapping, glacier monitoring, and damage assessment. Written by two of the most recognized leaders in this field, Polarimetric Radar Imaging: From Basics to Applications presents polarimetric radar imaging and processing techniques and shows how to develop remote sensing applications using PolSAR imaging radar. The book provides a substantial and balanced introduction to the basic theory and advanced concepts of polarimetric scattering mechanisms, speckle statistics and speckle filtering, polarimetric information analysis and extraction techniques, and applications typical to radar polarimetric remote sensing. It explains the importance of wave polarization theory and the speckle phenomenon in the information retrieval problem of microwave imaging and inverse scattering. The authors demonstrate how to devise intelligent information extraction algorithms for remote sensing applications. They also describe more advanced polarimetric analysis techniques for polarimetric target decompositions, polarization orientation effects, polarimetric scattering modeling, speckle filtering, terrain and forest classification, manmade target analysis, and PolSAR interferometry. With sample PolSAR data sets and software available for download, this self-contained, hands-on book encourages you to analyze space-borne and airborne PolSAR and polarimetric interferometric SAR (Pol-InSAR) data and then develop applications using this data.