Searching for authors named Philippe Lopes – sorted by Relevance.
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Edge Detection in Radar Images using Recursive Filters
- Edge detection is a fundamental issue in image analysis. A common approach is to identify edges as local maxima of the gradient magnitude in the gradient direction. In radar images, the presence of a non-Gaussian multiplicative noise known as speckle makes standard methods inefficient. We here propo
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Multiedge Detection in SAR Images
- Edge detection is a fundamental issue in image analysis. Due to the presence of speckle, which can be modelled as a strong multiplicative noise, edge detection in Synthetic Aperture Radar (SAR) images is very difficult and methods developed for optical images are inefficient. We here propose a new e
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Different Approaches to Multiedge Detection in SAR Images
- Edge detection is a fundamental issue in image analysis. The presence of speckle, which can be modelled as a strong multiplicative noise, complicates edge detection in Synthetic Aperture Radar (SAR) images. Several statistical edge detectors have been developed specifically for such images, based on
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Optimal Edge Detection and Localization in Complex SAR Images
- We here develop optimal criteria for edge detection and edge localization in Single Look Complex (SLC) Synthetic Aperture Radar (SAR) images. By working on complex data rather than intensity images, we can decorrelate the speckle and thus obtain more accurate estimations of local mean reflectivities
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Optimal Edge Detection in SLC Images with Correlated Speckle
- We here develop the optimal criterion for edge detection in Single Look Complex (SLC) Synthetic Aperture Radar (SAR) images. By working on complex data rather than intensity images, we can take the speckle autocorrelation into account, obtain more accurate estimations of local mean reflectivities, a
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Optimal Edge Detection and Edge Localization in Complex SAR Images with Correlated Speckle
- We here develop optimal criteria for detection and localization of step edges in single look complex (SLC) synthetic aperture radar (SAR) images. By working on complex data rather than intensity images, we can easily take the speckle autocorrelation into account, obtain more accurate estimates of lo
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An Optimal Multiedge Detector for SAR Image Segmentation
- Edge detection is a fundamental issue in image analysis. Due to the presence of speckle, which can be modeled as a strong, multiplicative noise, edge detection in synthetic aperture radar (SAR) images is extremely difficult, and edge detectors developed for optical images are inefficient. Several ro
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Complementary Edge Detection And Region Growing For SAR Image Segmentation
- The presence of strong, multiplicative random fluctuations known as speckle makes the segmentation of Synthetic Aperture Radar (SAR) images very difficult. Speckle is, however, well modelled statistically, and several statistical criteria have been developed for edge detection and region growing in
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Region-Based Enhancement And Analysis Of SAR Images
- Segmentation plays a key role in many image processing applications, including SAR image analysis. Given a highquality segmentation, important tasks such as adaptive noise filtering and classification can be greatly simplified. However, the presence of a strong, multiplicative noise known as speckle
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Multiresolution 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
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