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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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Proceedings ArticleDOI
A novel threshold template algorithm for ship detection in high-resolution SAR images
TL;DR: A new threshold template algorithm is presented in this paper to improve the performance in ship detection in high-resolution synthetic aperture radar (SAR) images by exploiting the relationship between neighbor pixels, which characterise high- resolution images.
Journal ArticleDOI
Progressive space frequency quantization for SAR data compression
TL;DR: The authors propose a new wavelet image coding technique for synthetic aperture radar (SAR) data compression called a progressive space-frequency quantization (PSFQ), which performs spatial quantization via rate distortion-optimized zerotree pruning of wavelet coefficients that are coded using a progressive subband coding technique.
Proceedings ArticleDOI
Clutter model for VHF SAR imagery
TL;DR: In this article, a physically-based clutter model for low frequency synthetic aperture radar that includes both distributed scatterers and large-amplitude discrete clutter is presented to generate a synthetic forest clutter scene.
Journal ArticleDOI
Soil Moisture Inversion Via Semiempirical and Machine Learning Methods With Full-Polarization Radarsat-2 and Polarimetric Target Decomposition Data: A Comparative Study
TL;DR: In this article, surface soil moisture was retrieved from Radarsat-2 and polarimetric target decomposition data by using semiempirical models and machine learning methods and the results indicated that the machine learning techniques performed much better than the semiemirical models.
Journal ArticleDOI
Land contained sea area ship detection using spaceborne image
Ziwei Wang,Ting Yang,Hong Zhang +2 more
TL;DR: This letter proposes a ship detection for the land contained sea area with a CNN based classifier to separate false alarms from ship object and a pooling utilization type called “max-mean pooling” is proposed.