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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
Ship Detection in High-Resolution Dual-Polarization SAR Amplitude Images
Gui Gao,Gongtao Shi,Shilin Zhou +2 more
TL;DR: A constant false alarm rate (CFAR) detecting method for ships in high-resolution dual-polarization synthetic aperture radar (SAR) amplitude images has been proposed in this paper.
Multimodal Classification of Remote Sensing Images: A Review and Future Directions Thispaperprovidesareviewofcurrentmethodologiesinsevenchallengingdatafusion applications for remote sensing and highlights the promising methods that benefit from the synergy between machine learning and signal processing.
TL;DR: In this paper, the authors provide a taxonomical view of the field and review the current method- ologies for multimodal classification of remote sensing images and highlight the most recent advances, which exploit sy- nergies with machine learning and signal processing: sparse methods, kernel-based fusion, Markov modeling and manifold alignment.
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A Statistical Analysis for Wavelength-Resolution SAR Image Stacks
Dimas I. Alves,Bruna Gregory Palm,Mats I. Pettersson,Viet T. Vu,Renato Machado,Bartolomeu F. Uchoa-Filho,Patrik Dammert,Hans Hellsten +7 more
TL;DR: The tests results reveal that the Rician distribution is a very good candidate for modeling stack of wavelength-resolution SAR images, where 98.59% of the tested samples passed the Anderson–Darling (AD) goodness-of-fit test.
Journal ArticleDOI
Ship Detection in Dual-Channel ATI-SAR Based on the Notch Filter
Gui Gao,Gongtao Shi +1 more
TL;DR: Theoretical proof that the interferometric magnitude performs better in ship detection than single-channel amplitude/intensity is given based on the signal-clutter-ratio improvement and the version of the notch filter that is suitable for the ATI-SAR, that is, theInterferometric notch filter (INF), is proposed.
Journal ArticleDOI
An Improved Scheme for Parameter Estimation of g° Distribution Model in High-Resolution SAR Images
TL;DR: An improved parameter estimation scheme of the G 0 distribution is proposed, which combines the classical moment estimation with the mellin transform and adopts the Kullback- Leibler distance, Kolmogorov-Smirnov test and Mean Square Error as similarity measurements.