Multiresolution Analysis of Sar Images
نویسندگان
چکیده
SAR images have shown to be of high complexity and to require dedicated processing techniques. This paper presents two applications of the wavelet and multiresolution theory to the enhancement and characterization of SAR data. The rst application describes an improved method for speckle reduction. The second method uses a fractal-based texture measure to provide elements for SAR image segmentation. The methods have been applied to airborne C-band SAR images.
منابع مشابه
Multifrequency and Multiresolution Fusion of SAR Images for Remote Sensing Applications
In this paper we propose an integrated system to fuse images acquired by Synthetic Aperture Radars (SAR) at various frequencies and resolutions. After a preprocessing step, that corrects the topography effects on the input images, the fusion operation is carried out at two different levels: multifrequency and multiresolution. Each SAR sensor acquires data about the inspected region by using mor...
متن کاملTarget detection in SAR images via radiometric multi-resolution analysis
This paper presents a target detection method in synthetic aperture radar (SAR) images with radiometric multiresolution analysis (RMA). The idea is that target saliency can be efficiently computed by comparing the statistics of targets and those of the local background around them. In order to compute reliable statistics of targets, which usually involve a small number of pixels, RMA is adopted...
متن کاملMultiresolution Edge Detection in SAR Images
The presence of a strong multiplicative noise known as speckle complicates edge detection in Synthetic Aperture Radar (SAR) images and makes usual edge detectors inefficient. However, speckle is very well modelled statistically, and we here use this property to develop two non-linear multiresolution edge detectors for SAR images. A normalized ratio of local averages on opposite sides of the cen...
متن کاملMultiscale MAP filtering of SAR images
Synthetic aperture radar (SAR) images are disturbed by a multiplicative noise depending on the signal (the ground reflectivity) due to the radar wave coherence. Images have a strong variability from one pixel to another reducing essentially the efficiency of the algorithms of detection and classification. We propose to filter this noise with a multiresolution analysis of the image. The wavelet ...
متن کاملFlexible Histograms: A Multiresolution Target Discrimination Model
In previous work we have developed a methodology for texture recognition and synthesis that estimates and exploits the dependencies across scale that occur within images.1,2 In this paper we discuss the application of this technique to synthetic aperture radar (SAR) vehicle classification. Our approachmeasures characteristic cross-scale dependencies in training imagery; targets are recognized w...
متن کامل