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Understanding Synthetic Aperture Radar Images
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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
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Journal ArticleDOI
Discriminating Ship From Radio Frequency Interference Based on Noncircularity and Non-Gaussianity in Sentinel-1 SAR Imagery
TL;DR: Results show that noncircularity and non-Gaussianity are extremely helpful complements for single-channel SAR imagery interpretation and can characterize and identify the difference between ships and RFIs.
Journal ArticleDOI
Relationship between macrophyte stand variables and radar backscatter at L and C band, Tucuruí reservoir, Brazil
TL;DR: In this article, the relationship between macrophyte stand variables such as above-ground biomass, stand average height and moisture, and radar backscatter at C and L bands was examined.
Journal ArticleDOI
Micro-Doppler analysis of a rotating target in synthetic aperture radar
Thayananthan Thayaparan,P.K. Suresh,S. Qian,K. Venkataramaniah,S. SivaSankaraSai,K.S. Sridharan +5 more
TL;DR: The chirplet-based method of m-D extraction has been successfully applied to SAR data scene collected by the US Navy APY-6 radar and establishes itself as a viable alternative to the wavelet approach of decomposing the SAR radar return.
Dissertation
Automatic near real-time flood detection in high resolution X-band synthetic aperture radar satellite data using context-based classification on irregular graphs
TL;DR: In this paper, a hybrid Markov random field (MRF) model is proposed for the automatic derivation of flood areas under shrubs and grasses from TerraSAR-X data.
Journal ArticleDOI
Clear-Cut Detection in Swedish Boreal Forest Using Multi-Temporal ALOS PALSAR Backscatter Data
TL;DR: A simple thresholding algorithm that exploits the temporal consistency of time series of HV-backscatter measurements has been developed for clear-cut detection in the county of Västerbotten, Sweden and is reasonable when aiming at detecting clear-cuts, whereas there are shortcomings in terms of delineation.