Open AccessBook
Understanding Synthetic Aperture Radar Images
Reads0
Chats0
TLDR
In this paper, the principles of SAR image image formation are discussed and an analysis technique for multi-dimensional image analysis is presented based on RCS Reconstruction Filters and Texture Exploitation.Abstract:
Introduction. Principles of SAR Image Formation. Image Defects and their Correction. Fundamental Properties of SAR Images. Data Models. RCS Reconstruction Filters. RCS Classification and Segmentation. Texture Exploitation. Correlated Textures. Information in Multi-Channel SAR. Analysis Techniques for Multi-Dimensional Images. Target Information. Image Classification.read more
Citations
More filters
Journal ArticleDOI
An effective and objective criterion for evaluating the performance of denoising filters
TL;DR: This paper has proved that evaluating denoising filters is different from image quality assessment, and proposes a novel objective and effective assessment criterion, homogeneity mean difference (HMD), to evaluate the performance of the filters since it can describe the textual and structural information and/or the changes in textual andStructural information well.
Journal ArticleDOI
A Robust Framework for Covariance Classification in Heterogeneous Polarimetric SAR Images and Its Application to L-Band Data
TL;DR: An automatic classification approach for polarimetric covariance structure is derived and assessed and the behavior of the newly devised classifiers is first assessed over simulated data also in comparison with the analogous counterparts for a homogeneous environment.
Proceedings ArticleDOI
Speckle noise reduction in SAR images using adaptive morphological filter
TL;DR: The new proposed adaptive mathematical morphological filter gives promising results for significantly suppressing speckle noise and preserving the potential targets in Synthetic Aperture Radar images.
Automatic PolSAR segmentation with the u-distribution and Markov Random Fields
TL;DR: A novel unsupervised, non-Gaussian and contextual clustering algorithm is demonstrated for segmentation of Polarimetric SAR images using the more flexible, two parameter, U-distribution model and includes a Markov Random Field approach for contextual smoothing, without losing the benefits of the goodness-of-fit testing.
Proceedings ArticleDOI
Concept of the Coherent Autofocus Map-Drift Technique
Piotr Samczynski,Krzysztof Kulpa +1 more
TL;DR: The main goal of this work is to obtain high accuracy and sensitivity for autofocus technique in strip-mode SAR, based at the well-known noncoherent map-drift algorithm and it also takes advantages of multi-look registration to estimate unknown platform velocity component.