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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
Change detection in synthetic aperture radar images based on non-local means with ratio similarity measurement
Linzhi Su,Maoguo Gong,Bo Sun +2 more
TL;DR: In this article, a non-local means technique is introduced to generate a difference image by using complete information from a pair of observed images, and a new ratio-based relativity measurement between two speckled SAR image patches based on a ratio distance is proposed.
Posted Content
Speckle Reduction with Adaptive Stack Filters
TL;DR: This work proposes the use of training with selected samples for the estimation of the optimal Boolean function in adaptive stack filters when they are applied to speckled imagery, in particular to Synthetic Aperture Radar (SAR) images.
Proceedings ArticleDOI
A multivariate contour detector for high-resolution polarimetric SAR images
TL;DR: A new method based on multivariate statistics of speckle in homogeneous regions in a SAR image and uses a hypothesis test for the difference in variance between two adjacent regions to find the contour detection in high-resolution polarimetric SAR images is presented.
Journal ArticleDOI
Evaluating Moisture and Geometry Effects on L-Band SAR Classification Performance Over a Tropical Rain Forest Environment
TL;DR: Based on SAR data, misclassification occurs for the young successional forest stages and increases in scenes with higher moisture conditions, and the importance of selecting proper temporal intervals for the different SAR polarization modes of the forthcoming SAR missions is highlighted.
Journal ArticleDOI
Generalized method for sampling spatially correlated heterogeneous speckeled imagery
TL;DR: This paper presents a general result for the simulation of correlated heterogeneous targets, which are present in images corrupted by speckle noise, based on the use of a correlation mask and Gaussian random variables, in order to obtain spatially dependent Gamma deviates.